Sovereign Health Systems and the Collective Privacy Gap: What the World's First Indigenous-Sovereign AI Health Initiative Reveals About the Limits of Current Governance
This session centred on the Healthcare Without Borders initiative, a global collaborative effort to build AI-based infrastructure that delivers equitable, accessible, and sovereign healthcare to underserved populations worldwide . Dr. Siksik opened by highlighting that approximately 4.6 billion people lack access to basic healthcare, and that 86% of health data derives from European populations who represent only 16% of humanity, leaving communities with the greatest disease burden significantly underrepresented .
The Tsleil-Waututh Nation of British Columbia serves as the founding implementation partner for the initiative's first reference model . Councillor Nicholas Kofi and Chief Administration Officer Robert Bartlett, both from Tsleil-Waututh Nation, Canada, explained that the nation has historically experienced trauma through Western healthcare systems, including data exploitation and medical testing during the residential school era , making community-owned, sovereign health infrastructure essential for rebuilding trust .
Pam Dixon of the World Privacy Forum highlighted a critical governance gap between individual and collective privacy frameworks, noting that indigenous conceptions of privacy - such as the Maori model in New Zealand - are entirely collective, which aligns more naturally with how AI systems function technically . Dr. Luigi Serio of CERN described federated learning as the technological solution, enabling communities to contribute to shared AI models without transferring their data to central servers . Dino Dell'Accio added that blockchain-based digital identity systems, combining biometrics and zero-knowledge proof, can support both individual privacy and collective governance simultaneously .
Panellists from Namibia, the Maldives, and India underscored the need for culturally relevant, locally owned digital health systems that complement rather than replace healthcare professionals , and that address connectivity challenges in geographically dispersed regions . Dr. Raghwa Gopal argued that scaling from a single implementation to true health system transformation requires trust, interoperability, common standards, and genuine community partnership .
The discussion concluded with a call to Commonwealth heads of government to establish a dedicated committee for scalable, context-sensitive deployment of sovereign digital health models, and to address data extractivism through stronger governance frameworks such as the Council of Europe's Convention 108+ , reflecting a shared conviction that data sovereignty is foundational to health equity globally .
Overall Purpose
- The discussion centres on the "Healthcare Without Borders" initiative, a global collaborative project led by Innovation Network Canada in partnership with the Tsleil-Waututh Nation. The session aims to explore how AI-based digital health infrastructure can deliver equitable, accessible, and sovereign healthcare to underserved populations worldwide, with a particular focus on indigenous communities, small island states, and rural populations. The panel brings together leaders from indigenous governance, privacy law, AI research, digital identity, and international health policy to examine the technical, ethical, and governance dimensions of this challenge.
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Major Discussion Points
- The scale of global healthcare inequity and the data representation problem. More than half the world's population - approximately 4.6 billion people - lacks access to basic healthcare. Compounding this, roughly 86% of healthcare AI data derives from European populations, who represent only 16% of humanity, leaving communities with the greatest burden of disease severely underrepresented. This imbalance has direct consequences: life expectancy in some countries is up to 20 years lower, and in Canada, indigenous people live 15 years less than the general population. - Indigenous data sovereignty and the trauma of historical exploitation. Representatives from the Tsleil-Waututh Nation emphasised that healthcare has historically been a site of harm for indigenous peoples, including testing and trauma linked to the residential school system, which has created deep mistrust of Western medicine. A recurring challenge has been that communities have been compelled to surrender their data, only to find themselves excluded from its benefits. The Healthcare Without Borders model seeks to reverse this by ensuring the nation is a co-designer of the technology, not merely a recipient. As Councillor Nicholas Kofi noted, being "at the main table with the tools in our hand" represents a fundamentally different and more equitable relationship. - The gap between individual and collective privacy frameworks, and how AI may bridge it. Pam Dixon highlighted that virtually all existing privacy law - including international human rights frameworks - is built on an individual model, whereas indigenous conceptions of privacy, such as the Maori framework underpinning New Zealand's Aotearoa Algorithmic Charter, are entirely collective. Crucially, AI and machine learning systems operate on a collective, system-level basis, which happens to align with indigenous governance models rather than Western legal frameworks. Dino Dell'Accio added that blockchain technology, through mechanisms such as zero-knowledge proof and privacy by design, offers a means of achieving both collective and individual privacy simultaneously. - Federated learning as a technical solution for data sovereignty. Dr. Luigi Serio of CERN described federated learning as a method by which AI models are sent to local data nodes - such as hospitals or community health hubs - trained locally, and only model parameters (not raw data) are returned to a central server. This means communities can contribute to and benefit from collective intelligence without ever sharing their underlying data. The approach is already operational at CERN and has been implemented in three major European healthcare projects. May Siksik further noted that the initiative also includes AI clinical tools designed to function on a mobile phone without internet connectivity, addressing sovereignty even in offline settings. - Conditions for scaling the model globally, including to small states and Commonwealth nations. Dr. Raghwa Gopal outlined five criteria that healthcare leaders would require before adopting the model more broadly: improved health outcomes, community trust in data governance, operational performance, economic sustainability, and scalability across different jurisdictions and cultural contexts. Speakers representing the Maldives, Namibia, and India each highlighted specific local adaptations needed, including offline functionality for geographically dispersed islands , investment in digital infrastructure and literacy in rural Namibia , and culturally relevant content delivered through trusted community recruiters for diabetes prevention in India. Pam Dixon and Nurain Janah both stressed that approximately 40 Commonwealth small island states lack any data protection legislation, making them vulnerable to data extractivism, and called for adoption of the Council of Europe's Framework 108 Plus as an accessible governance instrument. ---
Overall Tone
- The overall tone of the discussion is earnest, collaborative, and hopeful, with an undercurrent of urgency. Speakers from the Tsleil-Waututh Nation introduce moments of gravity and emotional weight, particularly when describing the historical trauma associated with healthcare and data exploitation , which grounds the more technical contributions in human reality. The contributions from technologists and policy experts are measured and solutions-focused, while the closing exchanges - particularly around the Commonwealth heads of government meeting - carry a tone of cautious optimism and advocacy. Throughout, there is a consistent spirit of genuine partnership and shared mission, with Robert Bartlett's closing remarks capturing the collective sentiment: "I feel like we're building something in the right way."
Healthcare Without Borders: Expanded Summary
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Opening and Context
The session opened with brief technical difficulties involving audio feedback, requiring participants to mute their devices and adjust their speaker settings before the substantive discussion could begin . Once underway, Dr May Siksik, CEO of Innovation Network Canada and Innovation Network Global, and co-chair of the Dynamic Coalition on Emerging Technologies at the UN Internet Governance Forum, welcomed participants and acknowledged the Tsleil-Waututh Nation of British Columbia as the founding partner for the first implementation of the Healthcare Without Borders initiative . She thanked the assembled panellists for their perspectives and framed the session around what she described as one of the most important challenges and greatest inequities of the current era: ensuring that everybody has access to quality healthcare regardless of where they live .
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The Scale of Global Healthcare Inequity
Dr Siksik opened the substantive discussion by presenting a stark statistical picture of global health inequity. Approximately 4.6 billion people - more than half the world's population - currently lack access to basic healthcare . Compounding this access crisis is a profound data representation problem: roughly 86% of the data underpinning healthcare algorithms derives from European populations, who represent only 16% of humanity, while the communities carrying the greatest burden of disease remain severely underrepresented . In the field of genomics, this underrepresentation is even more extreme, with affected communities accounting for only 2% of the data . The consequences of this imbalance are tangible and severe: life expectancy in some countries is up to 20 years lower than in others, and in Canada, indigenous people live approximately 15 years less than the general population . This statistical framing established the initiative not merely as a technology deployment project but as a corrective to a systemic global failure - one rooted in historical data exclusion as much as in resource inequality.
In response to these challenges, Innovation Network Canada established Healthcare Without Borders, described as a global collaborative initiative focused on building AI-based infrastructure to deliver equitable, accessible, and sovereign healthcare . Dr Siksik emphasised that creating such a structure would not be effective without co-designing it with the communities it is intended to serve , and that the Tsleil-Waututh Nation had been honoured as the founding implementation partner for the first reference model . She also noted growing interest from the governments of Namibia and the Maldives, who had been in conversations about how these principles might be adapted for their own health systems . The initiative's ambition, she stressed, was not to replicate models but to adapt and co-create them with each community .
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Indigenous Governance and the Tsleil-Waututh Nation's Perspective
Nicholas Kofi of the Tsleil-Waututh Nation provided the first community perspective, describing the nation's approach to governance as fundamentally community-centred: every decision and every action is made for the betterment of the community, with the council serving as the voice of its people . Chief Administration Officer Robert Bartlett elaborated on the administrative dimension, noting that the nation has historically been left behind and has struggled to gain a seat at the table . A recurring and damaging pattern, he explained, has been that the nation's data has been taken and used by others, leaving the community in the position of having to beg for that information to be applied to their own benefit . The Healthcare Without Borders initiative, in his view, fundamentally changes this dynamic by placing the nation at the forefront of making healthcare decisions for its own people .
Nicholas Kofi then offered a deeply personal and historically grounded account of why healthcare has been a site of profound trauma for his people. He described how, for a long period, healthcare carried serious repercussions for indigenous communities, including testing and what he characterised as torture linked to the residential school system . This history has made many indigenous people reluctant to engage with Western medicine, as they have been treated as subjects of projects rather than as equal participants . Undoing this trauma, Kofi argued, is one of the first responsibilities of indigenous governance, and a critical means of doing so is by holding the community's information close - maintaining sovereignty over their own data . He expressed genuine excitement about the opportunity to be at the main table with tools in hand, approaching the initiative as educated partners rather than test subjects .
Robert Bartlett reinforced these points, acknowledging the real and ongoing impact of historical trauma on community members' willingness to seek healthcare , and expressing hope that the initiative would produce something the nation truly owns - something that elders and members can feel comfortable with . He also articulated a forward-looking vision of generosity: what the nation learns through this process, it intends to share with other nations, so that others do not have to face the same challenges . He emphasised, however, that this sharing is only possible if the nation first has the comfort and capability to keep its own information secure . Dr Siksik added an important clarification at this point, stressing that the nation is not merely receiving technology but is actively participating in designing both the system and the technology itself - a distinction she described as critical .
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The Governance Gap: Individual Versus Collective Privacy
Pam Dixon, founder and executive director of the World Privacy Forum, introduced a philosophical and legal dimension that proved to be one of the most intellectually significant contributions of the session. Drawing on her work with the UN Statistical Commission and her engagement with the New Zealand government around 2020-2021, she described the Aotearoa Algorithmic Charter - a formal treaty with the Māori people - as a revelation that fundamentally challenged her understanding of privacy . In the Western tradition, she explained, privacy law is built on a Cartesian, individualistic foundation: all human rights instruments, including the European Charter of Human Rights and UN human rights frameworks, are individually based, with almost no exception . The Māori conception of privacy, by contrast, is entirely collective - there is no individual privacy, only collective privacy . She acknowledged that this was genuinely difficult to understand from a Western perspective and that it had taken her several years to begin to grasp .
Dixon then presented a technical slide illustrating what she described as a governance gap - a philosophical, sociocultural, and technical divide between individual-level data governance on the left and how artificial intelligence acts in the world on the right . Her key insight was that artificial intelligence and machine learning do not operate on an individual basis but on a collective one, exhibiting system-level behaviour . This technical reality, she argued, happens to align with the indigenous collective model rather than with the Western legal frameworks currently in place . This convergence between cutting-edge AI architecture and centuries-old indigenous governance philosophy was presented not as a coincidence but as a structural insight with profound implications for how digital health systems should be designed and governed.
Dino Dell'Accio, who developed a digital identity system at the United Nations and the UN Pension Fund, engaged directly with the tension Dixon had identified. He described how the UN system uses biometrics, facial recognition, blockchain, and artificial intelligence to enable approximately 80,000 retirees across 192 countries to confirm proof of life - what he termed not merely digital identity but digital dignity . He argued that blockchain, by its decentralised and consensus-based nature, offers a means of achieving collective governance , while zero-knowledge proof and privacy by design simultaneously preserve individual privacy . His conclusion was that this technology can help achieve both goals - collective and individual privacy - without requiring a fundamental overhaul of existing legal frameworks . This position represented a meaningful, if implicit, counterpoint to Dixon's argument that the philosophical gap requires new conceptual and legal frameworks.
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Federated Learning as a Technical Solution for Data Sovereignty
Dr Luigi Serio, a principal scientist at CERN, the European Organisation for Nuclear Research, provided the technical architecture underpinning the initiative's approach to data sovereignty . He described federated learning as a method developed at CERN to address the challenge of managing vast quantities of data generated by a 27-kilometre particle accelerator ring . Rather than sending data to a central server - which requires significant communication bandwidth, storage, and energy - federated learning brings the machine learning algorithm to where the data is generated . In the healthcare context, this means that AI models are sent to local nodes such as hospitals, patients, the nation, or different hub centres, trained locally on that data, and only the model parameters - not the underlying data - are returned to a central server . No raw data is shared; all data remains privately and confidentially within the different hubs .
Dr Serio emphasised that federated learning is not merely theoretical: it is operational at CERN for physics research and has already been implemented in three major European healthcare projects, where it has been demonstrated to achieve very high-performance models for prediction, diagnosis, and preventive medicine while keeping all data local . The significance of this achievement, he argued, is that communities no longer need to share their data in order to collectively contribute to and benefit from a general AI model . Dr Siksik connected this directly to the initiative's sovereignty goals, noting that the federated learning platform developed by Dr Serio is what the initiative will use to achieve full data sovereignty . She also highlighted a complementary capability: clinical AI intelligence designed to fit on a mobile phone, requiring very little power and no internet connectivity, which ensures sovereignty even in offline environments . Together, these two technical components - offline clinical AI and federated learning for cloud connectivity - form the technical backbone of the initiative's sovereignty architecture.
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Conditions for Scaling: From Pilot to Transformation
Dr Raghwa Gopal, chair of the Jim Patterson Centre for Health Systems Learning and Innovation, joined the session from a rural part of Fiji and offered a rigorous framework for thinking about what it would take to move from a single successful implementation to genuine health system transformation . He argued that success must be measured across five dimensions: first, improved health outcomes, including better access, reduced inequities, and support for prevention ; second, trust - evidence that communities have confidence in how their data is governed, that privacy is protected, and that sovereignty strengthens rather than limits collaboration ; third, operational performance, including reduced administrative burden and better clinical decision-making ; fourth, economic sustainability - delivering better outcomes while making more effective use of scarce resources ; and fifth, scalability across different communities, jurisdictions, and health systems while respecting local governance and cultural context .
Crucially, Dr Gopal argued that evidence alone will not transform healthcare . Transformation requires successful innovation to become repeatable innovation, which in turn demands common standards, trusted governance, interoperable technologies, supportive public policy, committed leadership, and genuine community partnership . He articulated a vision in which every implementation strengthens the next, with each community contributing to a growing body of knowledge while maintaining sovereignty over its own data and decisions . His most memorable formulation was that health transformation is not about deploying new technology but about creating a healthcare ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another, allowing every community to benefit while remaining in control of its own future . This systems-thinking perspective provided an important counterbalance to the more technology-focused contributions, situating technical solutions within the broader social and governance conditions necessary for lasting change.
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Perspectives from India, the Maldives, and Namibia
Dr Nalini Saligram, founder and CEO of Arugia World, brought a perspective grounded in 15 years of direct programme delivery in India. Her organisation, whose name means good health and living without disease, works on diabetes prevention through healthy living and has reached approximately 29.5 million people . The flagship M Diabetes programme sends 62 messages to participants - both those who are healthy and those who have diabetes - over six months, twice a week, via WhatsApp, now augmented with AI and multimedia, and is based on the evidence that 80% of type 2 diabetes can be prevented through eating well, exercising, and avoiding tobacco . Drawing on this experience, she identified three critical conditions for scaling health interventions: content must be culturally relevant, as foreign-sounding material will not be accepted ; a trusted person from within the community must recruit participants, as external recruiters are unlikely to succeed ; and the cost of technology must be brought down to make programmes accessible . She expressed strong interest in partnering with the Healthcare Without Borders initiative to translate proven content to other parts of the world .
Nurain Janah, originally from the Maldives and representing a small states perspective, highlighted dimensions of the challenge that had not yet been addressed in the discussion. She noted that small island states are on the front line of climate change, and that the health impacts of global warming are a critical and often overlooked dimension of healthcare planning for these communities . She advocated for holistic and preventative approaches rather than purely symptomatic treatment , and raised the important question of how traditional healthcare knowledge - existing for centuries - can be preserved and owned by communities as digital systems are introduced, including intellectual property ownership and the ability to benefit from that knowledge . On the geographic dimension, she described the Maldives as a big ocean nation with nearly 1,200 dispersed islands, where specialised healthcare is concentrated and complex procedures often require overseas travel . The challenge, she argued, is to empower local healthcare workers and provide specialised care seamlessly across the country .
Juliana Haimbodi, a councillor from Namibia, described a country of 3.1 million people dispersed across a vast geographic area, where healthcare professionals are concentrated in urban centres, leaving rural areas poorly served . She identified several critical principles for any digital health deployment in Namibia: digital health should complement rather than replace healthcare professionals, given the widespread concern that digitalisation threatens jobs ; data should be securely exchanged across health institutions with the highest level of privacy, remaining within the host country rather than flowing to foreign servers ; and investment in digital infrastructure, connectivity, and digital literacy is essential, as internet access in rural areas remains a significant challenge . Her emphasis on data localisation and cybersecurity directly echoed the sovereignty principles articulated by the Tsleil-Waututh Nation representatives, demonstrating that these concerns are shared across very different national contexts.
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The Clinician's Perspective
Dr Amit Rana, a trauma surgeon from Australia, argued that clinical perspectives are often overlooked in discussions about the future of healthcare, which tend to focus on technology and consumers while neglecting the care providers who are the health system's most critical and constrained resource, particularly in rural and remote indigenous communities . He described the Healthcare Without Borders model as offering a unique value proposition for both those who seek care and those who provide it . For communities, the model has the potential to replace fragmented and episodic care with connected and continuous care, closely aligned with the clinical mission . Co-designing care with communities and clinicians, and embedding cultural safety and shared ownership, builds trust and increases confidence for early utilisation of healthcare services .
From the clinician's perspective, Dr Rana argued that a well-designed system shows promise in reducing workflow friction, integrating technology more effectively, connecting clinicians to specialist support and multidisciplinary approaches, lessening burnout and attrition risk, reducing non-clinical time, eliminating professional isolation, lowering cognitive load, and supporting career development through continuous learning and mentorship . He concluded that the greatest opportunity is to reimagine both provider and consumer communities as close partners and collaborators working towards shared goals, thereby strengthening the culture of care, improving patient experience and outcomes, and building healthier communities globally .
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Policy Recommendations for Commonwealth Heads of Government
The session concluded with a question from the floor about what message panellists would send to the 56 heads of government gathering at the Commonwealth Heads of Government Meeting in Antigua and Barbuda in November . Dr Siksik identified two priorities: assembling a committee of Commonwealth member countries to co-create a scalable, context-sensitive model for sovereign digital health, and securing more sustainable funding through the Commonwealth and other sources beyond philanthropic contributions . She noted that the Commonwealth is well positioned for this role given its many member countries, many of which share challenges around rural medicine . She also emphasised that data is now a new gold, and that indigenous and underserved communities have historically been denied access to their own data - and therefore denied the ability to learn from it and act on it for their own benefit .
Pam Dixon focused her recommendation on the governance gap facing small island developing states, noting that approximately 40 Commonwealth small island states lack any form of data protection legislation, largely because the EU's General Data Protection Regulation is too burdensome for smaller jurisdictions . She recommended the Council of Europe's Convention 108 Plus as an accessible and enforceable alternative, open to all countries in the world, which would allow these jurisdictions to put in place rules to enforce better data management from external bodies and begin stopping what she termed data extractivism . She described data extractivism across Commonwealth jurisdictions as very troubling and identified it as a top priority for the heads of government meeting .
Nurain Janah reinforced this point from the small states perspective, noting that the Maldives has recently launched a Maldives Health Digital Blueprint, yet countries still have to invite vendors from globally and face significant resource and power asymmetries in negotiating interoperable, non-extractive systems . Dr Rana cautioned that most Commonwealth member states are at different stages of digitalisation and data governance, and that one sweeping set of guidelines will not address this diversity . He advocated instead for a clustered, empathetic leadership approach that allows for both scaling up and unscaling as appropriate . Robert Bartlett closed the discussion by expressing gratitude for the session and affirming that the words of the panellists - particularly around protecting data and addressing what he described as data extortionism - would make a real difference on the ground in communities .
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Overarching Themes and Conclusions
Throughout the session, a remarkably consistent set of principles emerged across speakers from very different professional, cultural, and geographic backgrounds. Data sovereignty - the right of communities to own, control, and benefit from their own health data - was identified as the cornerstone of equitable digital health infrastructure . Co-design with communities, rather than the imposition of external solutions, was presented as both an ethical imperative and a practical necessity for effective implementation . Trust, particularly in communities with histories of trauma and exploitation, was identified as a non-negotiable foundation for healthcare adoption . And contextual adaptation - rather than uniform replication - was consistently emphasised as the only viable approach to scaling the model globally .
Perhaps the most intellectually striking insight of the session was the convergence identified by Pam Dixon and operationalised by Luigi Serio: that AI systems function on a collective, system-level basis that aligns naturally with indigenous collective governance models, rather than with the individualistic Western legal frameworks currently dominant . This convergence suggests that indigenous data sovereignty principles are not merely cultural accommodations to be made, but may in fact represent a more structurally appropriate framework for the age of collective artificial intelligence. Dr Siksik's substantive remarks throughout the session captured the shared conviction of the assembled group - united by a common goal of delivering sovereign, equitable, accessible healthcare to everyone in the world regardless of where they live - that this vision is both necessary and achievable .
Over half the world's population lacks basic healthcare access, with algorithmic data skewed toward European populations - Healthcare data gap
Arg. 1May Siksik highlights that approximately 4.6 billion people globally lack access to basic healthcare. She further points out that 86% of healthcare intelligence data comes from European populations, who represent only 16% of humanity, while communities bearing the greatest disease burden remain severely underrepresented.
May Siksik stated that about 4.6 billion people, more than half the planet's population, do not have access to basic healthcare . She noted that 86% of healthcare algorithm data comes from European populations, who represent only 16% of humanity, with genomic data from underrepresented communities at only 2% .
Indigenous peoples in Canada live 15 years less than the general population, illustrating the life expectancy gap caused by healthcare inequity - Life expectancy disparity
Arg. 2May Siksik uses the example of indigenous peoples in Canada to illustrate the concrete human cost of healthcare inequity. She notes that in some countries, life expectancy can be as much as 20 years lower, and specifically in Canada, indigenous people live 15 years less than the rest of the population.
May Siksik cited that in some countries life expectancy is about 20 years less than others, and specifically that in Canada, indigenous people live 15 years less than everybody else .
Healthcare Without Borders is a global collaborative initiative designed to build AI-based infrastructure for equitable, accessible, and sovereign healthcare - Initiative overview
Arg. 3May Siksik describes the Healthcare Without Borders initiative as a response to the recognised global healthcare challenge. The initiative focuses on building AI-based infrastructure that is equitable, accessible, and sovereign, and is co-designed with the communities it is intended to serve.
May Siksik explained that Innovation Network established Healthcare Without Borders as a global collaborative initiative focused on building AI-based infrastructure to address healthcare inequity . She emphasised that the initiative would not be effective without co-designing it with the communities it serves, and highlighted the Tsleil-Waututh Nation as the founding implementation partner for the first reference model .
on: Successful models must be adapted to local context rather than replicated uniformly across different communities and jurisdictions
Clinical AI intelligence that fits on a phone and operates without connectivity ensures sovereignty even in offline environments - Offline clinical AI
Arg. 4May Siksik highlights that the initiative has developed AI for clinical intelligence that is compact enough to run on a phone, requiring low power and minimal storage without needing internet connectivity. This ensures that communities can access clinical intelligence even in remote areas, while federated learning addresses sovereignty when connecting to the cloud.
May Siksik described that the initiative developed AI for clinical intelligence that fits on a phone, is low power, takes very little space, and does not require connectivity . She noted that when communities do want to connect to the cloud, federated learning is used to achieve full sovereignty .
on: Digital infrastructure investment, connectivity, and digital literacy are essential prerequisites for effective digital health systems
Assembling a Commonwealth committee to co-create a scalable, context-sensitive model is a priority ask for the upcoming heads of government meeting - Commonwealth committee formation
Arg. 5May Siksik argues that the most important action for the upcoming Commonwealth heads of government meeting would be to form a dedicated committee to work on designing and deploying the healthcare model across different contexts. She emphasises that the Commonwealth is well positioned for this due to its many member countries, many of which struggle with rural medicine.
May Siksik stated that her top priority would be to assemble a committee that would work with the initiative to create a scalable model that takes context into account, noting that the Commonwealth is well positioned as a partner given its many member countries and shared challenges around rural medicine . She also referenced her previous advocacy at the Commonwealth trade ministers meeting in Namibia .
on: Uniform versus differentiated policy approaches for Commonwealth member states
Data is the new gold, and communities must be given access to their own data and the power to act on it and collaborate globally - Community data empowerment
Arg. 6May Siksik argues that data has become an extremely valuable resource, yet many communities, particularly indigenous ones, have been denied access to their own data. She stresses that sovereignty is essential to give communities control over their data and the ability to collaborate and share intelligence globally.
May Siksik noted that data is now a new gold and that indigenous communities in Canada, for example, have not had access to their own data to learn from it and act on it . She emphasised that sovereignty is critical to give communities access to their data, power over what they do with that knowledge, and the ability to collaborate and share intelligence globally .
Good governance means being the voice for the community, with every decision made for the betterment of community members - Community-centred governance
Arg. 1Nicholas Kofi explains that for the Tsleil-Waututh Nation and Coast Salish people, governance is fundamentally about being the voice for the community. Every decision and action taken by the council is oriented towards the betterment of community members.
Nicholas Kofi stated that for Coast Salish people, governance means being the voice for the community, and that every decision and thought is for the betterment of the community .
Historical trauma from medical testing and the residential school system has caused indigenous peoples to distrust Western healthcare systems - Historical medical trauma
Arg. 2Nicholas Kofi describes how healthcare has historically been a site of trauma for his people, including testing and what he describes as torture through the residential school system. This historical trauma is a primary reason why many indigenous people are reluctant to engage with Western medicine.
Nicholas Kofi explained that healthcare had serious repercussions for his people and was the site of testing and torture, particularly through the residential school system . He noted that undoing this trauma is one of the first steps the nation's government must take, and that many of his people do not want to return to Western medicine because they have been treated as a project .
on: Trust in data governance is a foundational prerequisite for healthcare adoption, particularly in communities with histories of trauma
Being at the table from the beginning, as co-designers rather than test subjects, is essential for genuine community participation - Co-design participation
Arg. 3Nicholas Kofi emphasises that the opportunity to be involved from the very beginning of the initiative, with tools in hand and surrounded by people with genuine interest in the community's wellbeing, is unprecedented. He stresses the importance of approaching this as educated partners rather than as test subjects.
Nicholas Kofi described the initiative as an opportunity for the nation to be at the main table with tools in hand, surrounded by people who genuinely have their best interests at heart, which is something his people have not previously had . He stated that the nation wants to come at this from an educated way, learning and adapting for their people not as test subjects but on the same level .
on: Co-design with communities is essential; communities must be partners and co-creators, not passive recipients of technology
Indigenous communities have historically had their data taken and used without benefit returning to them, creating a need to change this narrative - Data ownership narrative
Arg. 1Robert Bartlett describes the historical pattern where indigenous nations have ended up selling or losing their data, only to then have to beg for that information to be used for their own benefit. He argues that the Healthcare Without Borders initiative changes this dynamic by placing the nation at the forefront of their own healthcare.
Robert Bartlett noted that the challenge has always been that the nation seems to end up selling their data and then people use that data, leaving the nation begging for the information to be used for their own benefit . He stated that this initiative changes the whole perspective by putting the nation at the front of making healthcare for themselves .
on: Trust in data governance is a foundational prerequisite for healthcare adoption, particularly in communities with histories of trauma
The nation aims to share lessons learned with other nations so they do not face the same challenges, emphasising the importance of keeping data sovereign - Knowledge sharing commitment
Arg. 2Robert Bartlett expresses the Tsleil-Waututh Nation's commitment to sharing what they learn from this initiative with other nations, so that others do not have to go through the same difficulties. He links this knowledge-sharing goal to the importance of maintaining tight control over their own data and information.
Robert Bartlett stated that as the nation builds this system, they want to give what they learn to other nations because they do not want others to go through the same challenges . He emphasised that to do this effectively, they need the comfort and capability to keep their information secure .
on: Co-design with communities is essential; communities must be partners and co-creators, not passive recipients of technology
Current global privacy law is entirely individually based, creating a governance gap when it comes to protecting collective community rights - Individual privacy law gap
Arg. 1Pam Dixon explains that virtually all global privacy law, including human rights frameworks, is based on individual rights rather than collective ones. This creates a significant governance gap because communities cannot effectively assert their collective rights under existing legal frameworks.
Pam Dixon noted that all human rights frameworks, including the European Charter of Human Rights and UN Human Rights, are individually based, and that all privacy law is individually based with almost no exception . She illustrated this gap with a technical slide showing the difference between individual-level measurement and collective system-level behaviour .
on: Community data sovereignty is essential and communities must own and control their health data
on: Individual versus collective privacy frameworks as the foundation for data governance
The Māori conception of privacy in New Zealand is entirely collective, contrasting sharply with the Western Cartesian view of individual rights - Collective indigenous privacy model
Arg. 2Pam Dixon describes her discovery of the Māori conception of privacy through her work with the New Zealand government on the Aotearoa Algorithmic Charter. Unlike Western privacy frameworks, the Māori model is entirely collective, with no concept of individual privacy, which she found profoundly challenging to understand from a Western perspective.
Pam Dixon recounted her work with the New Zealand government around 2020-2021 on the Aotearoa Algorithmic Charter, a formal treaty with the Māori tribe . She described how the Māori conception of privacy is entirely collective with no individual privacy, which she found mind-bending and took her several years to begin to understand .
Artificial intelligence systems exhibit collective, system-level behaviour, which technically aligns with the indigenous collective model of governance - AI collective behaviour alignment
Arg. 3Pam Dixon argues that AI and machine learning systems do not operate on an individual basis but rather on a collective basis, exhibiting system-level behaviour. This technical reality happens to align with the indigenous collective model of privacy and governance, suggesting a natural compatibility between the two.
Pam Dixon stated that artificial intelligence and machine learning work on a collective basis in the technical realm, and that AI systems exhibit collective system-level behaviour . She noted that this happens to match the indigenous model, and that current work involves figuring out how to transcribe collective governance into technology .
Approximately 40 small island developing states lack any data protection governance, and adopting the Council of Europe Framework 108 Plus would provide enforceable data management rules - Data governance framework adoption
Arg. 4Pam Dixon highlights that approximately 40 small island developing states have no data protection governance on the books, largely because GDPR is too burdensome to implement. She recommends the Council of Europe Framework 108 Plus as an accessible alternative open to all countries that would provide enforceable data management rules.
Pam Dixon noted that approximately 40 small island developing states lack any form of data protection governance, and that GDPR is far too heavy a lift for them . She recommended the Council of Europe Framework 108 Plus as an instrument open to all countries in the world that would allow jurisdictions to put in place enforceable data management rules .
Data extractivism across Commonwealth jurisdictions must be addressed through enforceable frameworks that give communities control over their data - Stopping data extractivism
Arg. 5Pam Dixon identifies data extractivism as a serious and troubling problem across Commonwealth jurisdictions, where external bodies extract data from communities without adequate governance or enforcement mechanisms. She argues that enforceable frameworks are needed to stop this practice and give communities genuine control over their data.
Pam Dixon described data extractivism happening across Commonwealth jurisdictions as very troubling, and stated that stopping it would be a top goal . She linked this to the need for the Council of Europe Framework 108 Plus to provide enforcement teeth against external bodies extracting data from these areas .
Federated learning allows machine learning algorithms to be sent to where data is generated, rather than centralising data, preserving privacy and confidentiality - Federated learning principle
Arg. 1Luigi Serio explains the core principle of federated learning as bringing the algorithm to where the data is generated, rather than sending data to a central server. This approach makes data management more efficient and preserves privacy and confidentiality by keeping data local.
Luigi Serio described federated learning as a process where instead of sending data to a central server, the machine learning algorithm is brought to where the data is generated . He explained that in the healthcare context, algorithm models are sent to different nodes such as hospitals or nations, trained locally, and only the parameters of the model are transferred, meaning no data is shared .
on: Whether technology or governance is the primary driver of healthcare transformation
Communities can collectively contribute to a shared AI model without sharing their underlying data, achieving high-performance diagnostics while retaining sovereignty - Collective intelligence without data sharing
Arg. 2Luigi Serio argues that federated learning enables communities to benefit from collective AI intelligence without having to share their raw data. This means communities can contribute to and benefit from powerful diagnostic and predictive models while all data remains privately and safely within their own systems.
Luigi Serio stated that federated learning allows communities to collectively contribute to a general model without sharing their data and to benefit from all this collective intelligence . He noted that this has been demonstrated to achieve very high performance models for prediction, diagnosis, and preventive medicine while keeping all data locally .
Federated learning is already operational at CERN and implemented in three major European healthcare projects, demonstrating real-world viability - Operational proof of concept
Arg. 3Luigi Serio provides concrete evidence of federated learning's viability by pointing to its operational use at CERN for physics research and its implementation in three major European healthcare projects. This demonstrates that the technology is not merely theoretical but has been proven to work in real-world settings.
Luigi Serio confirmed that federated learning is operational and working at CERN for research purposes, particularly in physics . He also stated that it has already been implemented in three major European healthcare projects and demonstrated to achieve very high performance algorithms for prediction, diagnosis, and preventive medicine while keeping all data locally .
A digital identity system was developed at the UN to enable 80,000 retirees across 192 countries to confirm proof of life, representing a fundamental human right - Digital dignity for proof of life
Arg. 1Dino Dell'Accio describes the digital identity system developed at the United Nations, which enables 80,000 retirees residing in 192 countries to confirm that they are still alive. He frames this as one of the most important uses of emerging technology in enabling individuals to express and hold their human rights.
Dino Dell'Accio explained that the UN created a digital identity system to enable 80,000 retirees residing in 192 countries to confirm proof of life or proof of existence . He described this as probably one of the most important representations of the use of emerging technology in enabling individuals to express and hold their human rights .
Biometrics, blockchain, and AI were combined to create an immutable, secure, and fraud-resistant digital identity system - Multi-technology identity system
Arg. 2Dino Dell'Accio explains the technical architecture of the UN's digital identity system, which combines three technologies: biometrics and facial recognition for authentication, blockchain for creating an immutable record, and AI for individual recognition and deepfake detection.
Dino Dell'Accio described using three technologies: biometrics and facial recognition to support authentication and proof of life, blockchain to create an immutable record of the transaction, and AI to help in the recognition of the individual and to fight AI with AI in terms of detecting and preventing potential deepfakes .
Digital identity should be reframed as digital dignity, as it enables individuals to participate in the digital world and assert their existence - Digital dignity concept
Arg. 3Dino Dell'Accio proposes renaming digital identity to digital dignity, arguing that the ability to use technology to confirm one's existence is a fundamental enabler of participation in the digital world. He frames this as the first step in enabling individuals to participate in the digital world in a direct manner.
Dino Dell'Accio stated that he renamed digital identity to digital dignity, emphasising that enabling each person to use technology to state, confirm, and demonstrate that they are alive is the first step in enabling beneficiaries to participate in the digital world .
Blockchain technology, combined with zero-knowledge proof and privacy by design, can achieve both collective and individual privacy simultaneously - Blockchain dual privacy
Arg. 4Dino Dell'Accio responds to the tension between collective and individual privacy by arguing that blockchain technology can bridge both approaches. Its decentralised, distributed, and consensus-based nature supports collective governance, while zero-knowledge proof and privacy by design preserve individual privacy.
Dino Dell'Accio noted that blockchain is by its very nature decentralised, distributed, and based on a consensus mechanism, which supports collective approaches . He added that the use of zero-knowledge proof and privacy by design within blockchain allows for the maintenance of individual privacy simultaneously .
on: Individual versus collective privacy frameworks as the foundation for data governance
Success must be measured across five dimensions: health outcomes, trust, operational performance, economic sustainability, and scalability - Five measures of success
Arg. 1Raghwa Gopal argues that for healthcare leaders to adopt the model more broadly, success must be demonstrated across five specific dimensions. These are: improved health outcomes, community trust in data governance, operational performance for clinicians, economic sustainability, and scalability across different communities and jurisdictions.
Raghwa Gopal outlined five measures of success: better health outcomes including improved access and reduced inequities ; trust in data governance and privacy protection ; operational performance including reduced administrative burden and better clinical decision-making ; economic sustainability delivering better outcomes with scarce resources ; and scalability across different communities and jurisdictions while respecting local governance .
on: Successful models must be adapted to local context rather than replicated uniformly across different communities and jurisdictions
Transformation requires common standards, trusted governance, interoperable technologies, supportive public policy, and genuine community partnership - Conditions for transformation
Arg. 2Raghwa Gopal argues that evidence alone is insufficient to transform healthcare systems. True transformation requires a combination of common standards, trusted governance frameworks, interoperable technologies, supportive public policy, committed leadership, and genuine partnership with communities.
Raghwa Gopal stated that transformation happens when successful innovation becomes repeatable innovation, and that this requires common standards, trusted governance, interoperable technologies, supportive public policy, committed leadership, and genuine partnership with communities .
Each implementation should strengthen the next, with communities contributing to a growing body of knowledge while maintaining sovereignty over their own data - Iterative sovereign learning
Arg. 3Raghwa Gopal envisions a model where each implementation of the healthcare system builds upon and strengthens the next, creating a growing body of collective knowledge. Crucially, this should happen while each community maintains full sovereignty over its own data and decisions.
Raghwa Gopal stated that every implementation should strengthen the next one, and that each community should contribute to a growing body of knowledge while maintaining sovereignty over its own data and decisions .
on: Community data sovereignty is essential and communities must own and control their health data
Health transformation is about creating an ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another - Ecosystem-based transformation
Arg. 4Raghwa Gopal argues that health transformation is not fundamentally about deploying new technology, but about creating an ecosystem where multiple values reinforce each other. Trust, sovereignty, integrity, collaboration, and innovation must all work together to allow every community to benefit while remaining in control of its own future.
Raghwa Gopal stated that health transformation is not about deploying new technology but about creating a healthcare ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another, allowing every community to benefit while remaining in control of its own future .
on: Whether technology or governance is the primary driver of healthcare transformation
Diabetes prevention through community-based digital programmes has reached 29.5 million people in India, demonstrating scalable health intervention - Community health at scale
Arg. 1Nalini Saligram describes Arogya World's M Diabetes programme, which uses WhatsApp-based messaging augmented with AI and multimedia to promote lifestyle changes for diabetes prevention. The programme has reached 29.5 million people across rural and urban India over 15 years, demonstrating that digital health interventions can achieve significant scale.
Nalini Saligram described the M Diabetes programme, which sends 62 messages twice a week over six months via WhatsApp, now augmented with AI and multimedia, to people who are healthy as well as those with diabetes . She noted that Arogya World has reached 29.5 million people over 15 years with their programmes across rural and urban India .
on: Digital infrastructure investment, connectivity, and digital literacy are essential prerequisites for effective digital health systems
Small island developing states face unique health impacts from climate change, requiring holistic and preventative rather than purely symptomatic healthcare approaches - Climate-linked health challenges
Arg. 1Nurain Janah argues that small island states face distinctive health challenges arising from being on the front line of climate change, which must be factored into any healthcare model adapted for these communities. She advocates for holistic and preventative approaches rather than purely symptomatic treatment.
Nurain Janah highlighted that small island states face health impacts from being at the front line of climate change globally, and that this health impact view is really important . She argued that adaptation should include both preventative and holistic approaches rather than medicating at a symptoms level .
on: Successful models must be adapted to local context rather than replicated uniformly across different communities and jurisdictions
Traditional community knowledge and intellectual property must be preserved and owned by communities as digital health systems are introduced - Traditional knowledge ownership
Arg. 2Nurain Janah raises the importance of preserving and respecting traditional healthcare knowledge that has existed for centuries as digital health systems are introduced. She argues that communities must retain ownership and intellectual property rights over their traditional knowledge and benefit from it.
Nurain Janah noted that there is already traditional healthcare that has existed for many decades and even centuries, and raised the question of how to prioritise community knowledge in a way where the community has ownership and intellectual property ownership and benefits from that as well .
on: Community data sovereignty is essential and communities must own and control their health data
The Maldives, with nearly 1,200 dispersed islands, requires seamlessly connected specialised healthcare that empowers local workers without dependence on overseas facilities - Geographic dispersion challenge
Arg. 3Nurain Janah describes the specific geographic challenge of the Maldives, which has nearly 1,200 dispersed islands where specialised healthcare is concentrated and complex procedures often require travel overseas. She calls for seamlessly connected healthcare that empowers local workers across the entire country.
Nurain Janah noted that the Maldives has almost 1,200 geographically dispersed islands, and while health centres exist across the country, specialised healthcare is concentrated and complex procedures often require going overseas . She asked how to empower healthcare workers and provide specialised care in ways that are seamlessly connected across the board .
on: Digital infrastructure investment, connectivity, and digital literacy are essential prerequisites for effective digital health systems
Small states need capacity building and the ability to negotiate interoperable, non-extractive systems from a position of empowerment rather than resource asymmetry - Small states negotiating capacity
Arg. 4Nurain Janah argues that small states deploying digital health systems still have to invite global vendors, creating a power imbalance. She calls for capacity building and the ability to negotiate interoperable, non-extractive systems from a position of empowerment rather than resource and power asymmetry.
Nurain Janah noted that even where small states like the Maldives have launched digital health blueprints, they still have to invite vendors from globally . She called for capacity building and the ability to negotiate interoperable systems that are not extractive but adapted to local context, and for empowerment to make those decisions .
Namibia's rural populations are underserved because healthcare professionals are concentrated in urban centres, making digital health a complement rather than a replacement for professionals - Rural healthcare complementarity
Arg. 1Juliana Haimbodi describes Namibia's healthcare challenge, where a population of 3.1 million is dispersed across a vast geographic area but most healthcare professionals are concentrated in urban centres, leaving rural areas poorly served. She emphasises that digital health should complement rather than replace healthcare professionals, addressing stereotypes about digitalisation taking jobs.
Juliana Haimbodi noted that Namibia has a population of 3.1 million dispersed across a vast geographic area, with most healthcare professionals concentrated in urban centres, leaving rural areas poorly attended . She emphasised that digital health should not replace healthcare professionals but rather complement them, as there is a stereotype in Namibia that digitalisation takes jobs .
on: Successful models must be adapted to local context rather than replicated uniformly across different communities and jurisdictions
on: Whether digital health should complement or can partially replace healthcare professionals
Data must remain within the host country on secure local servers with strong cybersecurity, and digital infrastructure investment including connectivity is essential - Data localisation and infrastructure
Arg. 2Juliana Haimbodi argues that digital health systems must ensure data is securely exchanged across health institutions with the highest level of privacy, remaining within the host country rather than flowing to foreign servers. She also highlights the need for investment in digital infrastructure and connectivity, particularly in rural areas, as well as digital literacy for healthcare workers.
Juliana Haimbodi stated that the digital health system should save data securely exchanged across health institutions with the highest level of data privacy, not flowing to foreign servers but remaining within the host country, along with the highest level of cybersecurity . She also noted the need to invest in digital infrastructure and connectivity, as there are still challenges with internet access in rural areas in Namibia, as well as digital literacy for healthcare workers .
on: Digital infrastructure investment, connectivity, and digital literacy are essential prerequisites for effective digital health systems
Healthcare providers are the most critical and constrained resource in rural and remote communities, and their needs must be central to system design - Clinician as constrained resource
Arg. 1Amit Rana argues that discussions about the future of healthcare often focus on technology and consumers while neglecting the care providers who are the most critical and constrained resource, particularly in rural and remote indigenous communities. He emphasises that supporting clinicians' mission is essential to delivering better clinical outcomes.
Amit Rana stated that when discussing the future of healthcare, there is a tendency to focus on technology and consumers, but care providers are the health system's most critical and constrained resource, particularly in rural and remote indigenous communities . He noted that medicine is a mission-driven profession built on service and human connection, and that supporting this mission means enabling clinicians to work more effectively .
The model can replace fragmented and episodic care with connected and continuous care, aligning with the clinical mission - Connected care model
Arg. 2Amit Rana argues that the Healthcare Without Borders model has the potential to transform care for marginalised communities by replacing fragmented and episodic care with connected and continuous care. He notes that co-designing care with communities and clinicians and embedding cultural safety builds trust and encourages earlier utilisation of healthcare services.
Amit Rana stated that the model has the potential to replace fragmented care with connected care and episodic care with coordinated and continuous care, which closely aligns with the clinical mission . He noted that co-designing care with communities and clinicians and embedding cultural safety and shared ownership builds trust and increases confidence for early utilisation of healthcare services .
on: Trust in data governance is a foundational prerequisite for healthcare adoption, particularly in communities with histories of trauma
A well-designed system can reduce workflow friction, lessen burnout, lower cognitive load, and support career development for clinicians - Clinician wellbeing benefits
Arg. 3Amit Rana argues that a well-designed healthcare infrastructure can significantly improve the working lives of clinicians by reducing workflow friction, integrating technology better, connecting clinicians to specialist support, lessening burnout and attrition risk, reducing non-clinical time, and supporting career development through continuous learning.
Amit Rana outlined a range of benefits for clinicians from a well-designed system, including reducing workflow friction, integrating technology better, connecting clinicians to specialist support or multidisciplinary approaches, lessening burnout and attrition risk, reducing non-clinical time, eliminating professional isolation, lowering cognitive load, and supporting career development through a continuous learning mentorship ecosystem .
on: Whether digital health should complement or can partially replace healthcare professionals
Reimagining providers and communities as close partners working towards shared goals strengthens the culture of care and improves outcomes - Provider-community partnership
Arg. 4Amit Rana argues that the greatest opportunity of the healthcare system is to reimagine both providers and communities as close partners and collaborators working towards shared goals. By helping clinicians fulfil their responsibilities and mission, the system can strengthen the culture of care, improve patient experience and outcomes, and build healthier communities globally.
Amit Rana stated that the greatest opportunity for the system is to reimagine both provider and consumer communities as close partners and collaborators working towards shared goals . He argued that by helping clinicians fulfil their responsibilities and mission, the system can strengthen the culture of care, improve patient experience and outcomes, and build healthier communities across the globe .
on: Co-design with communities is essential; communities must be partners and co-creators, not passive recipients of technology
Commonwealth member states are at different stages of digitalisation, so leadership must adopt a clustered, empathetic approach rather than sweeping uniform guidelines - Differentiated digital leadership
Arg. 5Amit Rana argues that when Commonwealth leaders come together, they must recognise that member states are at very different stages of digitalisation and data governance. He advocates for a more collaborative and empathetic approach that creates clusters and addresses divergence within the group, rather than applying sweeping uniform guidelines.
Amit Rana noted that most member states are at different stages of digitalisation and data governance, and that one sweeping set of guidelines will not address that . He suggested creating more clusters and being more empathetic to both scaling up and unscaling at the same time as a better leadership approach .
on: Successful models must be adapted to local context rather than replicated uniformly across different communities and jurisdictions
on: Uniform versus differentiated policy approaches for Commonwealth member states
The upcoming Commonwealth Heads of Government Meeting represents a critical opportunity to influence 56 government leaders on sovereign digital health infrastructure - CHOGM opportunity
Arg. 1The Participant highlights that approximately 56 heads of government from Commonwealth nations, including Canada and the Maldives, will be convening in Antigua and Barbuda in early November. By framing this as an opportunity to deliver a direct message to these leaders, the Participant implicitly argues that multilateral political engagement at the highest level is essential for advancing the goals of the Healthcare Without Borders initiative.
The Participant noted that in about 100 days, 56 government leaders from the Commonwealth, including from Canada and the Maldives, would be coming together, and asked panelists what their one ask would be if they were in the room with those heads of government .
Participants should be given clear instructions to manage their audio settings to prevent echo and disruption during the session - Proactive participant audio management
Arg. 1Speaker 1 identifies that the echo problem is being caused by participants having their speaker volume on, and suggests that rather than waiting for the problem to persist, organisers should proactively instruct all participants on how to manage their audio settings. This reflects a practical approach to ensuring the session can proceed smoothly and inclusively for all attendees.
Speaker 1 identified that having the sound on causes audio to play from the speaker, creating an echo feedback loop, and suggested turning the volume down as the solution . Speaker 1 then proposed that organisers tell people to do that and give them instructions to resolve the issue .
Session Knowledge Graph
Speakers · Topics · Arguments · Relationships
Across the discussion, speakers consistently agreed that communities must retain sovereignty over their health data. May Siksik framed this as a core design principle of Healthcare Without Borders , emphasising that data is 'the new gold' and that communities have been denied access to their own data . Robert Bartlett described the historical pattern of indigenous nations losing their data and then having to beg for it to be used for their own benefit . Nicholas Kofi linked data sovereignty to undoing historical trauma from medical testing . Pam Dixon identified the governance gap in existing individual-based privacy law that fails to protect collective rights . Raghwa Gopal argued that each community must maintain sovereignty over its own data and decisions as implementations scale . Juliana Haimbodi insisted that data must not flow to foreign servers but remain within the host country . Nurain Janah raised the need for communities to retain intellectual property ownership over their traditional knowledge .
Healthcare Without Borders is a global collaborative initiative designed to build AI-based infrastructure for equitable, accessible, and sovereign healthcare - Initiative overview
Indigenous communities have historically had their data taken and used without benefit returning to them, creating a need to change this narrative - Data ownership narrative
Historical trauma from medical testing and the residential school system has caused indigenous peoples to distrust Western healthcare systems - Historical medical trauma
Current global privacy law is entirely individually based, creating a governance gap when it comes to protecting collective community rights - Individual privacy law gap
Each implementation should strengthen the next, with communities contributing to a growing body of knowledge while maintaining sovereignty over their own data - Iterative sovereign learning
Data must remain within the host country on secure local servers with strong cybersecurity, and digital infrastructure investment including connectivity is essential - Data localisation and infrastructure
Traditional community knowledge and intellectual property must be preserved and owned by communities as digital health systems are introduced - Traditional knowledge ownership
Multiple speakers agreed that genuine community participation from the outset is non-negotiable. May Siksik stressed that the initiative would not be effective without co-designing it with the communities it serves , and highlighted that the Tsleil-Waututh Nation is part of developing the technology, not just receiving it . Nicholas Kofi emphasised the importance of being at the main table with tools in hand, approaching the initiative as educated partners rather than test subjects . Nalini Saligram noted that content must be culturally relevant and that trusted community recruiters are essential for programme adoption . Amit Rana argued that the greatest opportunity is to reimagine both providers and communities as close partners working towards shared goals .
Healthcare Without Borders is a global collaborative initiative designed to build AI-based infrastructure for equitable, accessible, and sovereign healthcare - Initiative overview
Being at the table from the beginning, as co-designers rather than test subjects, is essential for genuine community participation - Co-design participation
The nation aims to share lessons learned with other nations so they do not face the same challenges, emphasising the importance of keeping data sovereign - Knowledge sharing commitment
Diabetes prevention through community-based digital programmes has reached 29.5 million people in India, demonstrating scalable health intervention - Community health at scale
Reimagining providers and communities as close partners working towards shared goals strengthens the culture of care and improves outcomes - Provider-community partnership
Speakers consistently identified trust as a foundational requirement for healthcare engagement. Nicholas Kofi described how healthcare has historically been a site of trauma for his people, including testing through the residential school system, making many indigenous people reluctant to engage with Western medicine . Robert Bartlett noted that trauma makes it difficult to get community members to seek healthcare , and that the initiative must be something the nation owns so that members and elders feel comfortable . Raghwa Gopal explicitly listed trust as the second of five measures of success, stating that leaders will want evidence that communities have confidence in how their data is governed and that privacy is protected . Amit Rana noted that co-designing care with communities and embedding cultural safety and shared ownership builds trust and increases confidence for early utilisation of healthcare services .
Historical trauma from medical testing and the residential school system has caused indigenous peoples to distrust Western healthcare systems - Historical medical trauma
Indigenous communities have historically had their data taken and used without benefit returning to them, creating a need to change this narrative - Data ownership narrative
Success must be measured across five dimensions: health outcomes, trust, operational performance, economic sustainability, and scalability - Five measures of success
The model can replace fragmented and episodic care with connected and continuous care, aligning with the clinical mission - Connected care model
Speakers broadly agreed that models must be adapted to local contexts rather than imposed uniformly. May Siksik emphasised that the idea is not to replicate models but to adapt and co-create them with communities . Raghwa Gopal argued that scalability requires adapting across different communities, jurisdictions, and health systems while respecting local governance and cultural context . Nalini Saligram stressed that content must be culturally relevant and that what works in India must be translated appropriately for other contexts . Nurain Janah highlighted the unique health challenges of small island states facing climate change . Juliana Haimbodi described Namibia's specific geographic and professional distribution challenges . Amit Rana argued that one sweeping set of guidelines will not address the different stages of digitalisation across Commonwealth member states .
Healthcare Without Borders is a global collaborative initiative designed to build AI-based infrastructure for equitable, accessible, and sovereign healthcare - Initiative overview
Success must be measured across five dimensions: health outcomes, trust, operational performance, economic sustainability, and scalability - Five measures of success
Diabetes prevention through community-based digital programmes has reached 29.5 million people in India, demonstrating scalable health intervention - Community health at scale
Small island developing states face unique health impacts from climate change, requiring holistic and preventative rather than purely symptomatic healthcare approaches - Climate-linked health challenges
Namibia's rural populations are underserved because healthcare professionals are concentrated in urban centres, making digital health a complement rather than a replacement for professionals - Rural healthcare complementarity
Commonwealth member states are at different stages of digitalisation, so leadership must adopt a clustered, empathetic approach rather than sweeping uniform guidelines - Differentiated digital leadership
Several speakers agreed that connectivity and digital infrastructure are foundational requirements. May Siksik highlighted the development of AI clinical intelligence that fits on a phone and operates without connectivity, addressing the reality that many communities lack reliable internet access . Juliana Haimbodi noted the need to invest in digital infrastructure and connectivity in rural areas of Namibia, as well as digital literacy for healthcare workers . Nurain Janah described how the Maldives' 1,200 dispersed islands require seamlessly connected specialised healthcare . Nalini Saligram called for bringing down the cost of technology, including WhatsApp and AI, to make digital health programmes accessible .
Clinical AI intelligence that fits on a phone and operates without connectivity ensures sovereignty even in offline environments - Offline clinical AI
Data must remain within the host country on secure local servers with strong cybersecurity, and digital infrastructure investment including connectivity is essential - Data localisation and infrastructure
The Maldives, with nearly 1,200 dispersed islands, requires seamlessly connected specialised healthcare that empowers local workers without dependence on overseas facilities - Geographic dispersion challenge
Diabetes prevention through community-based digital programmes has reached 29.5 million people in India, demonstrating scalable health intervention - Community health at scale
Both Pam Dixon and Luigi Serio converged on the insight that AI and machine learning systems operate on a collective rather than individual basis, and that this technical reality can be harnessed to support community sovereignty. Pam Dixon argued that AI systems exhibit collective system-level behaviour that happens to match the indigenous model of collective governance . Luigi Serio described how federated learning operationalises this by bringing algorithms to where data is generated rather than centralising data, keeping all data locally while enabling collective model training . Both saw the technical architecture of AI as naturally compatible with collective governance frameworks. Both Pam Dixon and Dino Dell'Accio engaged with the tension between individual and collective privacy, though from different angles. Pam Dixon identified the philosophical and legal gap between individual-based privacy law and the collective privacy needs of indigenous communities . Dino Dell'Accio responded to this tension by arguing that blockchain technology, through its decentralised and consensus-based nature combined with zero-knowledge proof and privacy by design, can achieve both collective and individual privacy simultaneously . Together they acknowledged the same fundamental problem and pointed towards complementary technical and governance solutions. Nicholas Kofi and Robert Bartlett, both representing the Tsleil-Waututh Nation, shared deeply aligned perspectives on the historical context and aspirations for the initiative. Both described the trauma their community has experienced — Nicholas Kofi from the perspective of medical testing and the residential school system , and Robert Bartlett from the perspective of data being taken and used without community benefit . Both expressed excitement about the initiative as a means of changing this narrative, with Robert Bartlett noting it puts the nation at the front of making their own healthcare , and Nicholas Kofi describing it as an opportunity to be at the table with tools in hand . Both also expressed a desire to share lessons with other nations . Both Raghwa Gopal and Amit Rana shared a systemic, ecosystem-based view of healthcare transformation that goes beyond technology deployment. Raghwa Gopal argued that health transformation is not about deploying new technology but about creating an ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another . Amit Rana similarly argued that the greatest opportunity is to reimagine both providers and communities as close partners working towards shared goals, strengthening the culture of care and improving outcomes . Both emphasised that transformation requires genuine partnership and shared purpose rather than technological solutions alone. Both Nurain Janah and Juliana Haimbodi, representing geographically dispersed developing nations, shared similar perspectives on the specific challenges their contexts present. Both described how geographic dispersion means that specialised healthcare is concentrated in certain areas, leaving rural and remote populations underserved — Nurain Janah describing the Maldives' 1,200 dispersed islands and Juliana Haimbodi describing Namibia's vast geographic area with urban-concentrated professionals . Both also emphasised the need for data to remain locally controlled and not flow to foreign servers , and for investment in connectivity and digital capacity . Both May Siksik and Pam Dixon identified data extractivism as a critical problem that must be addressed through governance frameworks and community empowerment. May Siksik described data as 'the new gold' and noted that indigenous communities in Canada have not had access to their own data , arguing that sovereignty is critical to give communities power over their data and the ability to collaborate globally . Pam Dixon identified data extractivism across Commonwealth jurisdictions as very troubling and recommended the Council of Europe Framework 108 Plus as an enforceable mechanism to stop it . Both agreed that communities must be empowered with control over their data rather than having it extracted by external bodies.
It was unexpected that a technical scientist from CERN (Luigi Serio) and a privacy governance expert (Pam Dixon) would independently converge on the insight that AI's collective, system-level behaviour aligns with indigenous collective governance models. Pam Dixon noted that AI and machine learning work on a collective basis in the technical realm and that this happens to match the indigenous model . Luigi Serio's description of federated learning - where communities collectively contribute to a shared model without sharing data - operationally demonstrates this alignment. May Siksik connected both by describing federated learning as the mechanism for achieving full sovereignty . This convergence between cutting-edge physics research technology and centuries-old indigenous governance philosophy was a striking and unexpected area of consensus.
While Dino Dell'Accio introduced the concept of renaming digital identity to 'digital dignity' , this framing resonated unexpectedly with the broader discussion about indigenous community rights and participation. Nicholas Kofi's description of his people wanting to be seen as equals rather than test subjects and May Siksik's emphasis on communities being co-designers rather than recipients all pointed to the same underlying principle: that participation in digital systems must be grounded in human dignity and self-determination. The convergence between a UN pension fund administrator's technical reframing and indigenous governance advocates' lived experience was an unexpected area of consensus around the human rights dimensions of digital participation.
It was somewhat unexpected that speakers from such diverse backgrounds - a Canadian innovation network CEO, a US privacy governance expert, a Maldivian small states advocate, and an Australian trauma surgeon - all converged on the Commonwealth as a meaningful vehicle for advancing sovereign digital health. May Siksik explicitly identified the Commonwealth as well positioned due to its many member countries sharing challenges around rural medicine . Pam Dixon focused on the approximately 40 small island developing states within the Commonwealth lacking data protection governance . Nurain Janah highlighted the resource asymmetry small states face when negotiating with global technology vendors . Amit Rana called for a clustered, empathetic approach recognising different stages of digitalisation . The consensus around the Commonwealth as a practical multilateral vehicle was not a foregone conclusion given the diversity of speakers.
Speakers from very different contexts - a diabetes prevention specialist working in India, a small island states advocate, a trauma surgeon, and a health systems leader - all converged on the importance of prevention and holistic care over reactive, symptomatic treatment. Nalini Saligram described how 80% of type 2 diabetes can be prevented with lifestyle changes and that her programme has reached 29.5 million people . Nurain Janah argued for holistic rather than symptomatic approaches, particularly given climate-linked health impacts . Amit Rana called for replacing episodic care with coordinated and continuous care . Raghwa Gopal included prevention as a key measure of success . This consensus across such different professional and geographic contexts was unexpected.
The discussion demonstrated a remarkably high level of consensus across speakers from very diverse backgrounds - indigenous governance leaders, privacy experts, physicists, clinicians, public health advocates, digital identity specialists, and representatives of small island and developing states. The core areas of agreement centred on: (1) the fundamental importance of community data sovereignty and the need to end data extractivism ; (2) the necessity of co-designing systems with communities rather than imposing external solutions ; (3) trust as a non-negotiable foundation for healthcare adoption, particularly in communities with histories of trauma ; (4) the need for contextual adaptation rather than uniform replication of models ; and (5) federated learning as a technically viable and operationally proven mechanism for achieving collective intelligence without compromising data sovereignty . Unexpected areas of consensus emerged around the natural alignment between AI's collective technical behaviour and indigenous collective governance models , the reframing of digital identity as digital dignity , and the Commonwealth as a practical vehicle for scaling sovereign digital health infrastructure .
Pam Dixon argued that virtually all global privacy law is individually based with almost no exception , creating a fundamental governance gap for communities seeking to assert collective rights . She presented this as a deep philosophical and sociocultural divide that requires rethinking the entire framework. Dino Dell'Accio, however, argued that this tension between collective and individual privacy is not irreconcilable, contending that blockchain technology, by its decentralised and consensus-based nature, can support collective governance , while zero-knowledge proof and privacy by design simultaneously preserve individual privacy . Dixon's position implies a need for new legal and conceptual frameworks, whereas Dell'Accio's position suggests existing technologies can bridge the gap without requiring a fundamental overhaul of privacy law.
Current global privacy law is entirely individually based, creating a governance gap when it comes to protecting collective community rights - Individual privacy law gap
Blockchain technology, combined with zero-knowledge proof and privacy by design, can achieve both collective and individual privacy simultaneously - Blockchain dual privacy
Luigi Serio presented federated learning as a concrete technical solution that is already operational and implemented in major European healthcare projects , framing technology as the key enabler of sovereign and equitable healthcare. Raghwa Gopal, by contrast, explicitly stated that health transformation is not about deploying new technology , but about creating an ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another . Gopal further argued that evidence alone will not transform healthcare, and that transformation requires common standards, trusted governance, interoperable technologies, supportive public policy, committed leadership, and genuine community partnership . This reflects a meaningful difference in emphasis: Serio prioritises the technical architecture, while Gopal prioritises the governance and social conditions that must surround it.
Federated learning allows machine learning algorithms to be sent to where data is generated, rather than centralising data, preserving privacy and confidentiality - Federated learning principle
Health transformation is about creating an ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another - Ecosystem-based transformation
May Siksik called for assembling a Commonwealth committee to work on designing and deploying a scalable healthcare model across different contexts, emphasising the Commonwealth's strong positioning due to its many member countries sharing challenges around rural medicine . While she acknowledged context-sensitivity, her framing suggested a unified collaborative structure. Amit Rana, however, explicitly cautioned that most member states are at different stages of digitalisation and data governance, and that one sweeping set of guidelines will not address that . He advocated instead for creating clusters and being empathetic to both scaling up and unscaling at the same time , suggesting a more fragmented and differentiated leadership approach rather than a single committee-driven model.
Assembling a Commonwealth committee to co-create a scalable, context-sensitive model is a priority ask for the upcoming heads of government meeting - Commonwealth committee formation
Commonwealth member states are at different stages of digitalisation, so leadership must adopt a clustered, empathetic approach rather than sweeping uniform guidelines - Differentiated digital leadership
Juliana Haimbodi explicitly stated that digital health should not replace healthcare professionals but rather complement them, noting that there is a stereotype in Namibia that digitalisation takes jobs from people . Her framing was cautious and protective of existing professional roles. Amit Rana, while not explicitly advocating for replacement, described a well-designed system as one that reduces workflow friction, reduces non-clinical time, and lowers cognitive load , and envisioned reimagining providers and communities as close partners working towards shared goals . His framing was more transformative, suggesting the system could fundamentally reshape how clinicians work rather than simply augmenting existing structures. The difference reflects a tension between a conservative, complementarity-focused approach and a more transformative vision of clinical practice.
Namibia's rural populations are underserved because healthcare professionals are concentrated in urban centres, making digital health a complement rather than a replacement for professionals - Rural healthcare complementarity
A well-designed system can reduce workflow friction, lessen burnout, lower cognitive load, and support career development for clinicians - Clinician wellbeing benefits
Nurain Janah unexpectedly introduced climate change as a significant and distinct health determinant for small island states, arguing that health impacts from being on the front line of climate change are really important and must be factored into any healthcare model . She advocated for holistic and preventative approaches rather than medicating at a symptoms level . This framing was not addressed or acknowledged by any other panellist, including May Siksik, who framed the initiative primarily around data equity, AI infrastructure, and sovereignty , Raghwa Gopal, who focused on trust, governance, and scalability , and Nalini Saligram, who focused on lifestyle-based diabetes prevention . The absence of any response to Janah's climate-health argument represents an unexpected implicit disagreement about the scope of the problem the initiative should address.
Nurain Janah raised the unexpected point that traditional healthcare knowledge existing for centuries must be preserved and that communities must retain ownership and intellectual property rights over it as digital systems are introduced . This is a distinct concern from data sovereignty over health records, as it pertains to the codification and potential commercialisation of traditional knowledge within AI systems. Neither May Siksik, who focused on data sovereignty and AI infrastructure , nor Luigi Serio, whose federated learning framework addresses data privacy but not intellectual property over traditional knowledge , addressed this dimension. This represents an unexpected gap and implicit disagreement about whether the initiative's sovereignty framework extends to protecting traditional knowledge as intellectual property.
Dino Dell'Accio argued that digital identity, which he reframed as digital dignity, is a foundational first step enabling individuals to participate in the digital world , implying it is a prerequisite for effective digital health infrastructure. May Siksik's framing of the initiative, however, focused on offline clinical AI and federated learning without explicitly positioning digital identity as a prerequisite. Luigi Serio's federated learning framework similarly did not address identity verification as a component . This creates an unexpected implicit disagreement about the sequencing and architecture of digital health infrastructure: Dell'Accio's model implies identity must come first, while Siksik and Serio's model suggests clinical AI and federated learning can be deployed independently of a robust digital identity layer.
The discussion was characterised by a high degree of surface-level consensus around shared goals - data sovereignty, equitable healthcare access, co-design with communities, and the importance of indigenous governance. However, meaningful implicit disagreements emerged in four key areas: (1) the philosophical tension between individual and collective privacy frameworks, with Pam Dixon arguing for a fundamental rethinking of privacy law and Dino Dell'Accio arguing that blockchain can bridge both ; (2) the relative primacy of technology versus governance as drivers of transformation, with Luigi Serio emphasising federated learning as the key enabler and Raghwa Gopal explicitly stating that transformation is not about deploying new technology ; (3) the appropriate policy approach for Commonwealth member states, with May Siksik favouring a unified committee-driven scalable model and Amit Rana cautioning against sweeping uniform guidelines ; and (4) the scope of the initiative, with Nurain Janah introducing climate change as a health determinant and traditional knowledge as an intellectual property concern that no other panellist addressed. Additionally, Juliana Haimbodi's explicit concern about digital health replacing rather than complementing healthcare professionals was not directly engaged by other speakers, reflecting a tension between transformative and conservative visions of digital health.
All three speakers agreed that data sovereignty and privacy protection are essential goals for the Healthcare Without Borders initiative and for communities more broadly. However, they proposed different technical and legal mechanisms to achieve this. Luigi Serio advocated for federated learning as the primary technical solution, whereby no data is shared and all data remains privately within different hubs . Dino Dell'Accio proposed blockchain combined with zero-knowledge proof and privacy by design as a means of achieving both collective and individual privacy . Pam Dixon focused on legal frameworks, specifically recommending the Council of Europe Framework 108 Plus as an enforceable instrument to stop data extractivism . All three converged on the goal of protecting community data sovereignty but diverged on the primary pathway to achieve it.
Federated learning allows machine learning algorithms to be sent to where data is generated, rather than centralising data, preserving privacy and confidentiality - Federated learning principle Blockchain technology, combined with zero-knowledge proof and privacy by design, can achieve both collective and individual privacy simultaneously - Blockchain dual privacy Approximately 40 small island developing states lack any data protection governance, and adopting the Council of Europe Framework 108 Plus would provide enforceable data management rules - Data governance framework adoption
All three speakers agreed that the lessons and knowledge generated by the Tsleil-Waututh Nation's implementation should be shared with other communities and nations. Robert Bartlett expressed the nation's commitment to giving what they learn to other nations so they do not face the same challenges . Raghwa Gopal articulated a vision where every implementation strengthens the next, with each community contributing to a growing body of knowledge while maintaining sovereignty . May Siksik framed this as a need for a Commonwealth committee to create a scalable model that takes context into account . However, they differed in emphasis: Bartlett focused on organic knowledge-sharing driven by the nation's values , Gopal emphasised iterative evidence-building and repeatable innovation , and Siksik emphasised formal institutional structures and funding mechanisms .
Each implementation should strengthen the next, with communities contributing to a growing body of knowledge while maintaining sovereignty over their own data - Iterative sovereign learning Assembling a Commonwealth committee to co-create a scalable, context-sensitive model is a priority ask for the upcoming heads of government meeting - Commonwealth committee formation The nation aims to share lessons learned with other nations so they do not face the same challenges, emphasising the importance of keeping data sovereign - Knowledge sharing commitment
Nurain Janah, Juliana Haimbodi, and May Siksik all agreed that geographic dispersion and lack of connectivity are critical barriers to healthcare access in their respective contexts, and that digital health infrastructure must address these realities. Janah highlighted the Maldives' nearly 1,200 dispersed islands where specialised care is concentrated and complex procedures require overseas travel . Haimbodi noted that Namibia's population is dispersed across a vast area with healthcare professionals concentrated in urban centres . May Siksik pointed to offline clinical AI that fits on a phone as a solution for communities without connectivity . However, they differed in their emphasis on solutions: Janah stressed the need for seamlessly connected specialised care and capacity building to negotiate with global vendors , Haimbodi emphasised investment in digital infrastructure and connectivity alongside digital literacy , and Siksik focused on the technical solution of offline AI combined with federated learning for cloud connectivity .
The Maldives, with nearly 1,200 dispersed islands, requires seamlessly connected specialised healthcare that empowers local workers without dependence on overseas facilities - Geographic dispersion challenge Namibia's rural populations are underserved because healthcare professionals are concentrated in urban centres, making digital health a complement rather than a replacement for professionals - Rural healthcare complementarity Clinical AI intelligence that fits on a phone and operates without connectivity ensures sovereignty even in offline environments - Offline clinical AI
Nicholas Kofi, Robert Bartlett, and May Siksik all agreed that co-design with indigenous communities is essential and that the historical pattern of data extraction must be reversed. Kofi emphasised the importance of being at the main table with tools in hand and not being treated as test subjects . Bartlett described the historical challenge of the nation selling their data and then begging for it to be used for their own benefit . Siksik stressed that the initiative would not be effective without co-designing it with the communities it serves , and noted that the nation is part of developing the technology, not just receiving it . However, there was a subtle difference in framing: Kofi and Bartlett spoke from the perspective of historical grievance and the need for genuine trust , while Siksik framed co-design more as a design principle for effectiveness , reflecting a difference between community-centred and initiative-centred motivations.
Being at the table from the beginning, as co-designers rather than test subjects, is essential for genuine community participation - Co-design participation Indigenous communities have historically had their data taken and used without benefit returning to them, creating a need to change this narrative - Data ownership narrative Healthcare Without Borders is a global collaborative initiative designed to build AI-based infrastructure for equitable, accessible, and sovereign healthcare - Initiative overview
- Over 4.6 billion people globally lack access to basic healthcare, and 86% of healthcare algorithmic data is derived from European populations representing only 16% of humanity, creating a profound inequity that disproportionately affects indigenous and underserved communities.
- Indigenous communities, such as the Tsleil-Waututh Nation in British Columbia, have historically experienced medical trauma, data extraction without benefit, and exclusion from healthcare decision-making; genuine co-design from the outset — as partners rather than subjects — is essential to building trust and effective systems.
- Data sovereignty is the cornerstone of equitable digital health infrastructure; communities must own, control, and benefit from their own health data rather than surrendering it to external servers or third parties.
- Federated learning, as developed and operationalised at CERN, enables communities to contribute to shared AI models without transferring their underlying data, achieving high-performance diagnostics and predictive medicine while preserving full data sovereignty.
- Current global privacy law is individually based and creates a governance gap for collective community rights; indigenous models of collective privacy — such as the Māori conception in New Zealand — align more closely with how AI systems actually function at a collective, system level.
- Blockchain technology combined with zero-knowledge proof and privacy-by-design principles can simultaneously protect both individual and collective privacy, offering a technical bridge between Western and indigenous governance frameworks.
- Digital identity, reframed as 'digital dignity', is a foundational requirement for any effective digital health infrastructure, enabling individuals to participate in the digital world and assert their existence and rights.
- Clinical AI that operates on a mobile device without requiring internet connectivity is critical for delivering sovereign healthcare in remote and geographically dispersed communities, such as those in the Maldives and Namibia.
- Successful health system transformation requires evidence across five dimensions: improved health outcomes, community trust, operational performance, economic sustainability, and scalability across different jurisdictions and cultural contexts.
- Each implementation of the Healthcare Without Borders model should strengthen subsequent ones, with communities contributing to a growing body of collective knowledge while retaining sovereignty over their own data and decisions.
- Small island developing states and geographically dispersed nations face compounded challenges including climate-linked health impacts, concentration of specialist care in urban centres, and limited capacity to negotiate equitable terms with global technology vendors.
- Healthcare professionals are the most critical and constrained resource in rural and remote communities; any digital health infrastructure must reduce clinician workflow friction, lessen burnout, and support career development rather than adding burden.
- Data is described as 'the new gold', and communities — particularly indigenous and small island populations — have historically been excluded from the value generated by their own data; restoring this access and control is both an ethical and practical imperative.
- Approximately 40 small island developing states in the Commonwealth lack any form of data protection governance, making them highly vulnerable to data extractivism by external actors.
- The Commonwealth, with its diverse membership of countries at varying stages of digitalisation, is well positioned to serve as a collaborative framework for scaling context-sensitive, sovereign digital health models globally.
“About 4.6 billion people on a global level, more than half the population of the planet, does not have access to basic health care right now. And most of our algorithms, most of the algorithms in health care is based on data. About 86% of the data in our health care intelligence comes from European populations, only 16% of humanity. While the communities that carry the most important data on health care and the most burden of disease remain significantly underrepresented. For example, 2% only in terms of genomics.”
“Healthcare, from my understanding, for the longest period of time was something that had serious repercussions to my people. It was the site of a lot of testing, a lot of, in some ways, torture for our people. So undoing that trauma is one of the first steps that we as a government have to do for our people. And one way that it's done is by holding our own information close to our hearts and close to our people... we're seen as a project for many people and that's not something we want to go back to.”
“In the West, we have a very Cartesian view of privacy. All of the rights, all of the human rights, the European Charter of Human Rights, the UN Human Rights, all human rights are individually based. All privacy law is individually based with almost no exception. But if you look at the Maori conception of privacy, it's entirely collective. There is no individual privacy. It is collective privacy. So when I first read this, it absolutely blew me away and caused my mind to bend because it's actually very difficult to understand from a Western perspective.”
“Artificial intelligence and machine learning, the way it works, it doesn't work on an individual basis. It works on a collective basis in the technical realm. So artificial intelligence systems exhibit collective system-level behaviour. This happens to match the indigenous model.”
“What we can learn as we build this, we want to give to other nations. Because we don't want people to go through the same challenges. But to do that, we need that comfort and that capability to keep this information tight. And what it leads to when we look at the positive of it is we can look at the specific challenges within our nation because we have very specific ones which aren't linked to my background in the Western world.”
“Evidence alone will not transform healthcare. Transformation happens when successful innovation becomes repeatable innovation. That requires common standards, trusted governance, interoperable technologies, supportive public policy, committed leadership, and above all, genuine partnership with communities... health transformation is not about deploying new technology. It's about creating a healthcare ecosystem where trust, sovereignty, integrity, collaboration, and innovation reinforce one another.”
“Approximately 40 of them [small island developing states] lack any form of data protection governance on the books. And the reason is because GDPR, the General Data Protection Regulation, is far too heavy of a lift. So there's another legal instrument called the Convention, the Council of Europe Framework 108 Plus, and this is open to all countries in the world, all of them. And this framework would allow those jurisdictions to put in place rules that will allow them to enforce much, much better data management from external bodies and start stopping the data extractivism that seems to happen in these areas so much.”
“I renamed this from digital identity to digital dignity. So first and foremost, enable each and every person to be able to use technology to state and to confirm and to demonstrate that they are alive.”
“The first step is the content has to be culturally relevant. If it is foreign-sounding, it's not going to get accepted by the people... A trusted recruiter is very important. So some of your on-the-ground partners are key.”
“There are already traditional healthcare [practices] that were there for many, many years or decades, even centuries. So how do we, as we digitise and give access with wonderful platforms like these that prioritise community, how do we also prioritise community knowledge in such a way where the community has the ownership and also their intellectual property ownership and benefits from that as well?”
How can communities benefit from collective intelligence and collaborate on a global level without surrendering their data, while maintaining fully sovereign healthcare?
This is a central governance challenge for the Healthcare Without Borders initiative. Answering it is critical to ensuring that underrepresented communities can participate in global health intelligence without being exploited or losing control of their own data.
How do we protect not only the rights of individuals within communities, but also the collective rights of entire communities in digital health systems?
Current privacy law is almost entirely individually based, leaving a significant governance gap for communities whose conception of privacy and rights is collective. Addressing this gap is essential for equitable and culturally appropriate digital health governance.
How can the collective governance model inspired by indigenous conceptions of privacy (such as the Maori Aotearoa Algorithmic Charter) be transcribed into technology and formal legal frameworks?
There is a philosophical, sociocultural, and technical gap between individual-based Western privacy law and collective indigenous privacy models. Bridging this gap is necessary for building AI and digital health systems that genuinely respect community sovereignty.
What evidence will healthcare leaders need before adopting the sovereign digital health model more broadly, and what will it take to move from one successful implementation to true health system transformation?
Scaling from a single pilot to systemic transformation requires clear metrics around health outcomes, trust, operational performance, economic sustainability, and scalability. Understanding what evidence is needed is critical for gaining buy-in from healthcare leaders and policymakers.
How can common standards, trusted governance, interoperable technologies, and supportive public policy be developed to make successful health innovation repeatable across different communities and jurisdictions?
Transformation requires more than a single successful pilot. Identifying the systemic enablers — standards, governance, interoperability, policy, and partnership — is essential for scaling sovereign digital health infrastructure globally.
How can traditional and indigenous healthcare knowledge be digitised and integrated into new platforms in a way that ensures communities retain ownership and intellectual property rights over that knowledge?
As digital health platforms are deployed, there is a risk that centuries-old community health knowledge is extracted without proper attribution or benefit-sharing. Ensuring intellectual property ownership for communities is a critical ethical and legal question.
How can specialised healthcare be delivered seamlessly to geographically dispersed populations, such as those across the 1,200 islands of the Maldives, using sovereign digital health infrastructure?
Small island and geographically dispersed nations face unique challenges in accessing specialised care. Understanding how federated and offline-capable digital health tools can bridge this gap is vital for equitable global health coverage.
How can digital health infrastructure be designed to complement rather than replace healthcare professionals, particularly in countries like Namibia where there is concern that digitalisation threatens jobs?
Addressing the perception that technology replaces human workers is essential for gaining trust and adoption among healthcare professionals, particularly in under-resourced settings where workforce concerns are acute.
How can digital infrastructure, internet connectivity, and digital literacy be sufficiently developed in rural areas of countries like Namibia to support sovereign digital health systems?
Without adequate connectivity and digital literacy, even the most well-designed health platforms cannot be effectively deployed. Identifying investment strategies and capacity-building approaches for rural digital infrastructure is a prerequisite for equitable implementation.
How can the cost of technology — including AI, WhatsApp-based messaging, and digital health platforms — be reduced sufficiently to enable scaling of proven prevention programmes to underserved populations globally?
Cost is a major barrier to scaling effective health interventions. Identifying mechanisms to reduce technology costs is essential for making sovereign digital health infrastructure accessible to low-resource communities worldwide.
How can culturally relevant health content be developed and adapted for different communities around the world, building on proven models such as the M Diabetes programme in India?
Cultural relevance is a key determinant of whether health interventions are accepted and effective. Understanding how to systematically adapt content across diverse cultural contexts is critical for global scaling of prevention programmes.
How can the approximately 40 Commonwealth small island developing states that currently lack any form of data protection governance adopt appropriate legal frameworks, such as the Council of Europe Convention 108 Plus, to prevent data extractivism?
Without data protection governance, small states are highly vulnerable to exploitative data practices by external actors. Identifying pathways for these states to adopt enforceable frameworks is urgent for protecting community sovereignty and health data.
How can small states negotiate interoperable digital health systems with global vendors from a position of greater power, overcoming resource and power asymmetries?
Small states often lack the bargaining power to negotiate fair, non-extractive, and contextually appropriate technology agreements. Developing collective negotiation strategies or multilateral frameworks is important for ensuring equitable technology deployment.
How can a scalable, context-sensitive model for sovereign digital health infrastructure be developed through the Commonwealth, with appropriate funding mechanisms, that accounts for the different stages of digitalisation and data governance across member states?
The Commonwealth represents a diverse group of nations at varying stages of digital development. Designing a scalable model that respects this diversity — rather than applying sweeping uniform guidelines — is essential for effective and equitable global health transformation.
How can indigenous communities, such as the Tsleil-Waututh Nation, gain access to their own health data and use it to improve community health outcomes, rather than having it extracted and used by external parties?
Historical data extractivism has left indigenous communities without access to their own health intelligence. Ensuring communities can access, learn from, and act on their data is a foundational requirement for sovereign and equitable healthcare.
How can the trauma associated with historical healthcare abuses — including residential schools and medical experimentation — be addressed as part of co-designing digital health systems with indigenous communities?
Deep historical trauma shapes indigenous communities' willingness to engage with healthcare systems. Understanding how to build trust and undo this trauma through co-design and community-led governance is essential for any successful health intervention.
How can federated learning platforms be further developed and validated to achieve high-performance clinical AI models across diverse health contexts while keeping all data locally sovereign?
Federated learning has been demonstrated in physics research and some European health projects, but its application across diverse global health contexts — particularly in low-resource and indigenous settings — requires further research and validation.
How can digital identity systems, combining biometrics, blockchain, and AI, be designed to balance individual privacy with collective governance needs in health contexts, including protection against deepfakes?
Digital identity is a prerequisite for effective digital health delivery, but must be designed to respect both individual dignity and collective governance principles. The challenge of balancing these, while also defending against AI-generated fraud, requires ongoing research and development.
How can holistic and preventative approaches to healthcare — including addressing the health impacts of climate change on frontline communities — be integrated into sovereign digital health infrastructure?
Small island states face compounding health challenges from climate change that require preventative and holistic responses, not just symptom-level treatment. Integrating these dimensions into digital health platforms is an important area for further exploration.
How can the Healthcare Without Borders model be adapted for the specific healthcare contexts of countries such as Namibia, the Maldives, and Fiji, while respecting local governance and cultural context?
The initiative aims to adapt rather than replicate models across different national contexts. Understanding what adaptations are necessary for each jurisdiction — in terms of infrastructure, governance, culture, and geography — is a key area for further research and co-design.
