HealthAI: The Global Agency for Responsible AI in Health
Acronym: HealthAI
Established: 2023
Address: Rue Varembé 7, 1202 Geneva, Switzerland
Website: http://www.healthai.agency
Stakeholder group: Initiatives and processes
HealthAI – The Global Agency for Responsible AI in Health, is a Geneva-based, independent nonprofit organisation with the mission of advancing the development and adoption of responsible AI solutions in health through the collaborative implementation of regulatory mechanisms and global standards.
HealthAI envisions a world where artificial intelligence produces equitable and inclusive improvements in health and well-being for all individuals and communities.
As the premier implementing partner to ensure global standards for responsible AI in health are actively applied, HealthAI works through our Global Regulatory Network and the Community of Practice with countries, normative agencies, the private sector, civil society, and other stakeholders to build national and regional regulatory capacity so that countries can actively validate AI technologies, reducing both the risks and long-term costs of AI-enabled health.
HealthAI’s work is rooted in three core principles, namely cultivating trust, catalysing innovation, and centring equity.
An Organisational Refresh:
Following four years of operation under The International Digital Health and AI Research Collaborative (I-DAIR), we have transformed into HealthAI: The Global Agency for Responsible AI in Health.
Digital activities
HealthAI new strategy
AI and other emerging technologies have immense potential to improve health and well-being, but they also bring a unique set of risks and challenges that must be addressed to safeguard individuals and communities from potential harms. Globally, the lack of effective governance increases the risk and hinders the adoption of responsible AI solutions towards better health outcomes. Strong, responsive regulatory mechanisms are required to establish AI systems’ safety and effectiveness and build trust for the long-term acceptability and success of AI-enabled progress in the health sector.
Some countries, mainly those with the highest gross domestic product (GDP) and the most advanced technology sectors, have begun integrating AI regulation into governance structures and national regulations. Most countries have only just begun considering the regulation of AI in general terms and even less so within the context of health. This risks deepening inequity in both access and outcome between early adopter countries and countries that do not have the resources or flexibility to match the pace of technological innovation.
Global efforts addressing the need for AI regulation through the harmonisation of existing standards are critical but require collaborative partners who can support the implementation of the resulting standards and recommendations at a local level. With the new strategy for 2024-2026, HealthAI positions itself as a premier implementing partner for countries, normative agencies, the private sector, and other stakeholders to ensure global standards of responsible AI in health are actively applied in the push towards improved health and well-being outcomes for all in alignment with the SDGs.
As a foundational building block to its mission, HealthAI has established the HealthAI Community of Practice. It is a collaborative platform for multidisciplinary actors to exchange knowledge, share good practices, generate evidence, and strengthen implementation support for regulatory processes and tools for responsible AI solutions in health. We currently have 200+ institutional members, including governments, regulatory agencies, international organisations, healthcare institutions, academia, civil society, and the private sector from 50+ countries.
Digital policy issues
HealthAI’s Core Outputs
HealthAI’s core outputs
To achieve our mission, HealthAI’s work spans five key areas (Figure 1):
1. Strengthening national and regional validation mechanisms on responsible AI in health:
- Establish in-country, government-led regulatory mechanisms by implementing global standards and guidance set by the World Health Organization (WHO) and others at the country level.
- Support the implementation of existing auditing tools, and provide guidance on the use of data for AI solutions validation.
2. Establishing a global regulatory network through a member qualification process for knowledge sharing and early warning of adverse events:
Facilitate knowledge sharing to streamline the certification of the same technology and identify AI solutions that require refinement or re-evaluation.
3. Establishing a global early warning system
- Rapid notification of adverse events arising from an AI-driven health solution.
4. Creating a global public repository of validated AI solutions for health:
- Allow countries to evaluate solution options against local health needs.
- Surface unmet health needs as insights and inspiration for technology developers.
5. Delivering advisory support on policies and regulations:
- Provide technical guidance and insights into global trends and best practices to help public and private stakeholders develop effective and contextually relevant strategies, policies, and regulations.
- Democratise AI for health policy-making through diverse stakeholder and citizen engagement to cultivate trust and improve inclusiveness.

The outputs will lead to the following outcomes. Stronger policies, regulations, and institutions will enable the effective governance and validation of AI and other emerging technologies, reducing both the risks and long-term costs of AI-enabled health. In the long term, countries will be able to identify validated AI solutions with greater certainty in their efficacy to meet local health needs, while private sector partners will have clarity about regulatory requirements and a better understanding of AI use in health systems and services.
HealthAI’s Impact
HealthAI contributes to enhanced health and well-being outcomes for all in alignment with the SDGs. HealthAI aims to achieve this by facilitating increased access to safe, high-quality, effective, and equitable AI solutions. This involves ensuring that AI solutions are not only safe to use but also comply with rigorous quality standards, delivering the intended health outcomes or system improvements.
HealthAI commits to providing information on market access authorisation and reimbursement processes while supporting an early warning mechanism to alert countries of adverse events. Through streamlined information sharing between countries and the establishment of a global repository of validated AI solutions, the organisation seeks to propagate the availability of proven responsible AI solutions. Furthermore, HealthAI envisions a positive impact on government revenue from regulatory activities, generating new sources of income for regulatory agencies and government budgets. This financial support is crucial for the sustained funding of regulatory mechanisms and additional investment capacity, ultimately accelerating approval processes across countries and leading to cost savings and bureaucratic streamlining.
Finally, by fostering an ecosystem that ensures compliance with internationally defined responsible AI standards, protects national data sovereignty, and supports local validation processes that enable feedback from civil society, HealthAI’s work will increase trust, investment, and innovation in responsible AI solutions for health.
Definition of Responsible AI
Responsible AI is characterised by AI technologies that align with established standards and ethical principles, prioritising human-centric attributes. In the context of HealthAI, responsible AI is defined as AI solutions that exhibit ethical, inclusive, rights-respecting, and sustainable qualities. These attributes encompass a commitment to protecting and respecting human autonomy, promoting well-being and safety, ensuring technical robustness, safeguarding privacy and data, adhering to laws and ethics, prioritising transparency and explainability, maintaining responsibility and accountability, fostering inclusivity and equity, upholding diversity and non-discrimination, and considering societal and environmental well-being. HealthAI applies these principles across all facets of AI technologies, from technical development and data use to technology implementation and its ultimate impact. This comprehensive definition is drawn from reputable sources, including WHO, the International Development Research Centre’s AI for Global Health Initiative, the European Commission’s High-Level Expert Group on AI, and pertinent journal publications on the ethics and governance of AI in health.
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