This session focused on the environmental dimensions of digital transformation under Action Line C7, jointly organised by ITU, UNEP, and WMO . The discussion was structured around three priority areas: governance and policy for measuring ICT environmental impacts, greening the digital ecosystem through e-waste and circular economy approaches, and the role of ICTs in disaster risk reduction and early warning systems .
On governance and policy, ITU highlighted its work assessing the environmental performance of the digital industry, including the annual Greening Digital Companies Report, which covers 200 leading technology companies, and efforts to support national regulators in harmonising environmental data . Loïs Ponce (ARCEP) spoke from the perspective of France's regulator and shared the experience launching environmental data collection from telecom operators in 2020. The data collection progressively expanded the scope to include device manufacturers, data centre operators, and generative AI service providers, emphasising that a collaborative, incremental approach and a clear legal mandate are essential . UNEP drew attention to the environmental risks of AI deployment, including rapidly growing energy and water demand from data centres, rising e-waste, and the need for consistent measurement methodologies and inclusive governance frameworks .
On e-waste, Noémie Pralat of ITU's circular economy programme stressed that effective national frameworks require accurate data, clear legislation, extended producer responsibility (EPR) financing mechanisms, and strong administrative arrangements. She also noted that countries with e-waste legislation achieve, on average, a 25% collection and recycling rate compared to near zero without such frameworks .
Regarding ICTs for disaster risk reduction, WMO presented its WIS 2.0 system, now operational since early 2025, which enables more than 90 countries to share data in real time. The system is built on open data, open standards, and open-source software to support accurate forecasting and early warning systems . ITU complemented this by underscoring the importance of enabling environments - including spectrum management, national emergency telecommunications plans, and technologies such as cell broadcast - for effective warning dissemination .
Overall, the session concluded that digital technologies are simultaneously part of the environmental challenge and part of the solution , and that addressing this dual role requires sustained collaboration across governments, regulators, industry, civil society, and international organisations .
Overall Purpose
- The session was jointly organised by ITU, UNEP, and WMO. Its goal was to examine the environmental dimensions of digital transformation across three areas: governing and measuring the ICT sector's environmental impacts, greening the digital ecosystem through e-waste and circular economy approaches, and leveraging ICTs for disaster risk reduction and early warning systems.
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Major Discussion Points
- Governing and measuring the environmental footprint of ICT and AI: A central theme was the urgent need for reliable, comparable, and transparent data on the environmental impacts of digital technologies, including energy consumption, greenhouse gas emissions, and resource use. ITU's Greening Digital Companies Report and its work with the World Bank on ICT-related emissions were highlighted as practical steps. France's regulator ARCEP was cited as a model, having launched environmental data collection from telecom operators in 2020 and progressively expanding its scope to device manufacturers, data centre operators, and, most recently, generative AI service providers. A clear legal mandate, collaborative methodology, and sector-specific expertise were identified as prerequisites for effective data-driven regulation. - The dual nature of AI - opportunity and environmental risk: Multiple speakers emphasised that AI presents both significant potential for environmental monitoring and a growing environmental burden. AI and data centres were noted to be driving rapidly increasing energy and water demand, with projections suggesting a doubling of consumption by 2030 if current trends continue. E-waste from digital devices was estimated to reach 2.5 million metric tonnes by 2030. UNEP called for inclusive governance frameworks that incorporate all countries and stakeholder groups, and noted that a UN Environment Assembly resolution had tasked UNEP with assessing the environmental sustainability of AI. The overarching message was one of cautious, responsible use rather than rejection of the technology. - E-waste management and circular economy frameworks: ITU's Creating a Circular Economy for Electronics programme, operating in more than 23 countries since 2018, was presented as a key vehicle for supporting regulators and governments. Four components of an effective national e-waste framework were outlined: accurate data collection, clear legal and regulatory frameworks, fair financing through Extended Producer Responsibility (EPR), and strong administrative arrangements. Data showed that countries with e-waste legislation achieve on average a 25% collection and recycling rate, compared to near-zero rates in countries without such frameworks. Innovative examples from Zambia, Rwanda, and Paraguay illustrated how regulators can act as facilitators and ecosystem builders rather than purely enforcement bodies. - WMO's WIS 2.0 system and the role of open data in early warning: WMO's Information System 2.0 (WIS 2.0) was presented as a transformative global infrastructure for sharing earth observation data in real time, underpinned by a 2021 unified data policy committing member states to share data freely for the safeguard of life and property. Built on open standards and open-source software, the system is now operational, with more than 90 countries sharing data in real time as of early 2025, supported by 11 countries running the global infrastructure. The session underscored that accurate, timely data sharing across the full chain is critical for effective early warning systems. - Enabling environments and ICTs for disaster risk reduction: ITU stressed that technology alone is insufficient without a robust enabling environment comprising clear roles and responsibilities, spectrum management, standard operating procedures, and strong policy and regulatory frameworks. ITU's leadership of Pillar 3 of the Early Warning for All initiative was highlighted, with particular focus on cell broadcast technology and the Common Alerting Protocol as practical tools for alert dissemination. ---
Overall Tone
- The tone throughout the discussion is consistently professional, collaborative, and constructive. Speakers from ITU, UNEP, ARCEP, and WMO all framed challenges not as insurmountable obstacles but as shared problems requiring coordinated, evidence-based responses. There is a measured sense of urgency, particularly around AI's environmental risks and the pace of e-waste generation, but this is balanced by optimism grounded in concrete examples of progress, such as ARCEP's regulatory model, WIS 2.0's operational success, and ITU's circular economy partnerships. The tone does not shift dramatically at any point; it remains solution-oriented and forward-looking from opening remarks to closing statements, with the final remarks reinforcing a spirit of continued partnership and accountability.
WSIS 2026 Forum Session on Action Line C7: Co-Designing the Environmental Dimensions of Digital Transformation
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Opening and Session Overview
The session was convened as part of the WSIS 2026 Forum under Action Line C7 on e-environment, jointly organised by ITU, UNEP, and WMO . Moderated by Ms. Maritza Delgado, Programme Officer at the Climate Change and Emergency Telecommunications Division of ITU's Telecommunication Development Sector , the discussion was structured around three interconnected priority areas: governance and policy approaches for measuring and managing the environmental impacts of ICTs; greening the digital ecosystem through e-waste management and circular economy approaches; and the role of digital technologies and resilient communication systems in disaster risk reduction and early warning . The overarching aim was to identify practical solutions, strengthen partnerships, and advance a shared vision for environmental sustainability in the context of digital transformation .
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Welcome Remarks: The Dual Nature of Digital Transformation
Ms. Magda Biesiada, Senior Programme Management Officer and Global Subprogramme Coordinator for Digital Transformation at UNEP, delivered welcome remarks on behalf of her organisation . She opened by acknowledging the transformative power of digital technologies, noting that they are changing how societies communicate, work, make decisions, and respond to complex global challenges . For the environment specifically, she highlighted that digital tools help monitor climate change, biodiversity loss, and pollution; improve access to environmental data; support early warning systems; and strengthen disaster preparedness .
However, Ms. Biesiada was equally emphatic about the environmental costs of digitalisation. She noted that data centres, networks, connected devices, and artificial intelligence all require energy, materials, and infrastructure, and that they contribute to emissions, generate electronic waste, and place growing pressure on natural resources . This dual reality led her to articulate what became the session's central conceptual framing: that digital technologies are simultaneously part of the environmental challenge and part of the solution . She concluded that environmental dimensions of digital transformation can no longer be treated as secondary concerns, but must be integrated into digital policy, environmental governance, and sustainable development planning from the outset . Addressing this challenge, she argued, would require collaboration across governments, regulators, UN entities, industry, academia, and civil society, with no single institution or government able to act alone .
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Topic One: Governance and Policy for Measuring ICT Environmental Impacts
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ITU's Contribution
Ms. Delgado, stepping out of her moderator role to present on behalf of ITU, set the context for the first thematic area by noting that while digital technologies can support climate action and sustainable development through improved climate monitoring, resource management, and service delivery, the growing environmental footprint of the digital sector - encompassing energy consumption, greenhouse gas emissions, and resource use - highlights the urgent need for reliable data, common methodologies, and informed policies . She outlined two principal ways in which ITU's division is contributing to this agenda.
The first is through the assessment of the environmental performance of the digital industry. In partnership with the World Benchmarking Alliance, ITU publishes the annual Greening Digital Companies Report, which reviews the emissions, energy use, and climate commitments of 200 leading technology companies . The latest edition was released during World Environment Day and feeds into the Greening Digital Dashboard, which provides open data to track progress and is intended to lay the foundation for a future global ICT emissions database . The second contribution involves helping countries strengthen national reporting by supporting regulators in collecting and harmonising environmental data, building technical capacity, and developing internationally agreed indicators through the Expert Group on Telecommunication and ICT Indicators . Working with the World Bank, ITU has also published an analysis of ICT-related emissions and electricity consumption in the world's 30 highest-emitting countries, alongside a case study on France's regulator RCEP .
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RCEP's Regulatory Model
Ms. Loïs Ponce, Policy Officer at the Market Observatory Unit of RCEP , elaborated on France's experience as a practical model for data-driven environmental regulation. She argued that the most effective starting point for integrating environmental considerations into digital policy is to improve knowledge, and that this requires reliable, comparable, and transparent data on the environmental footprint of the digital sector . Observing that such data were largely absent, RCEP launched its first environmental data collection from telecom operators in 2020, with the objective of publishing an annual survey gathering environmental indicators across the digital ecosystem .
RCEP's legal mandate was subsequently expanded in late 2021, giving it the power to collect environmental data from a large number of players across the entire digital value chain . A further extension of powers followed in 2024 . As a result, the scope of RCEP's annual survey - titled 'Achieving Digital Sustainability' - has progressively expanded from telecom operators to device manufacturers, data centre operators, and network equipment manufacturers, with cloud service providers and providers of generative AI services to be added in future iterations . The objective is to publish environmental indicators that support what RCEP terms 'data-driven regulation', by raising awareness, identifying where action should be prioritised, and monitoring progress over time .
Ms. Ponce described RCEP's methodology as collaborative and gradual: stakeholders are involved from the very early stages to identify relevant indicators, every annual data collection is formalised through a regulatory decision adopted after public consultation, and the scope has been expanded incrementally rather than all at once . She drew three key lessons from this experience: that a collaborative and incremental approach is essential; that collecting environmental data requires specific expertise beyond traditional statistical monitoring; and that a clear legal mandate is needed to ensure consistency in reporting and a high level of compliance . She also noted that RCEP's environmental work is embedded within its broader Ambition 2030 strategy, which identifies environmental issues as a key priority in digital regulation, with objectives both to improve knowledge of environmental impacts and to take action to reduce them . In late May, RCEP published a dedicated report on the environmental impacts of AI, setting out recommendations across four key areas, though the transcript enumerates three of these explicitly: improving measurement, promoting the eco-design of AI services, and supporting the sustainable development of data centres . Ms. Ponce concluded that better measurement is the foundation and starting point for more sustainable digital regulation .
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UNEP's Perspective on AI Environmental Risks
Ms. Irene Mwoga, Regional Digital Transformation Coordinator for Africa at UNEP , addressed the environmental risks associated with accelerating AI deployment. She framed AI as presenting two sides of the same coin: enormous potential to accelerate environmental action across climate monitoring, biodiversity tracking, disaster risk reduction, and resource efficiency, alongside significant and growing environmental risks that demand urgent attention .
She identified four principal risk areas requiring policymaker attention. The first is the rapidly growing demand for energy and water: research shows that data centres consume large amounts of electricity annually, and various studies project that if current trends continue, water and electricity demand from this sector could double by 2030 . The second is material consumption, including the growing demand for critical minerals driven by digital infrastructure expansion, as well as the contribution of digital devices to e-waste, estimated to reach 2.5 million by 2030 if current trends continue . The third risk area, which she described as frequently overlooked, concerns evidence and transparency: the lack of consistent evidence and reporting frameworks means that it is impossible to obtain a clear picture of what actions are needed, invoking the principle that 'what you cannot measure, you cannot control' . She called on all stakeholders to come together to develop common methodologies, metrics, and reporting frameworks to enable the private sector and other relevant actors to monitor and mitigate AI's environmental footprint . The fourth risk area is inclusion: as AI systems are designed, planned, deployed, and trained, it is essential to include all stakeholders and all countries - developed and developing alike - as well as major groups and civil society, given that countries are adopting AI with very different needs and capacities, with some lacking infrastructure, energy access, governance policies, and technical capacity .
Ms. Mwoga noted that these risks had been insufficiently addressed until the United Nations Environment Assembly Session 7, at which Member States adopted a resolution requesting UNEP to work with stakeholders and partners to understand the environmental sustainability of AI, with the principal asks being to strengthen the global evidence base on both opportunities and risks, and to facilitate knowledge exchange and sharing of scalable use cases . She concluded with a call for responsible and cautious use of AI to ensure that it benefits both people and the planet, rather than calling for a halt to its deployment .
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Topic Two: Greening the Digital Ecosystem and E-Waste Management
Ms. Noémie Pralat, Associate to the Circular Economy Programme at ITU's Climate Change and Emergency Telecommunications Division, addressed the challenge of electronic waste and circular economy frameworks . She drew on ITU's Creating a Circular Economy for Electronics programme, which has been supporting regulators, governments, and industry stakeholders in more than 23 countries since 2018 to develop e-waste policy, regulation, and implementation mechanisms .
She outlined four key components of an effective national e-waste management framework. The first is accurate data, grounding her argument in the principle that 'you cannot manage what you cannot measure' . An effective framework requires reliable information on the quantities of e-waste generated, collection and recycling rates, material recovery performance, and other indicators . She noted that e-waste remains the fastest-growing waste stream globally, with billions of dollars' worth of valuable materials - including copper, gold, iron, and rare earth elements - embedded within it, yet much of this waste continues to flow outside formal collection and recycling channels . ITU's global and national e-waste monitors provide comparable data on these trends, with a new edition of the Global E-Waste Monitor to be released the following year .
The second component is clear legal and regulatory frameworks. Ms. Pralat presented compelling empirical evidence: in countries where e-waste legislation exists, the average collection and recycling rate is approximately 25%, whereas in countries without such frameworks, collection rates remain closer to zero . Without a clear regulatory framework, she argued, e-waste management efforts tend to stall and remain fragmented . The third component is fair and sustainable financing through Extended Producer Responsibility (EPR), which she described as one of the most effective policy tools available . Under EPR, producers and importers of electronic and electrical equipment bear financial responsibility for supporting the collection, treatment, and recycling of products at end of life . When designed effectively, EPR goes beyond financing waste management to create incentives for increased repairability, longer product lifespans, and greater resource efficiency, and serves as a powerful platform for collaboration between the private and public sectors . The fourth component is strong administrative arrangements: legislation alone is insufficient without documented procedures, clearly defined institutional responsibilities, and practical systems for tracking information, material flows, and financing .
Ms. Pralat also addressed the role of regulators in encouraging participation from industry, consumers, and local stakeholders. She argued that regulators should be understood not merely as enforcement bodies but as facilitators, conveners, and ecosystem builders , noting that businesses are far more willing to invest in compliance systems and take-back programmes when there is a clear and transparent regulatory environment . She cited innovative examples from Zambia, where ITU supported the development of an ICT sector-led EPR approach through a voluntary partnership between the regulator and the ICT Association , as well as from Rwanda and Paraguay . She also directed regulators and policymakers to ITU's latest toolkit on circular economy and the programme webpage as practical resources. She concluded by noting that regulators can stimulate circular business models by supporting repair and refurbishment initiatives, encouraging secondary markets, and promoting sustainable public procurement .
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Topic Three: ICTs for Disaster Risk Reduction and Early Warning Systems
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WMO's WIS 2.0 System
Dr. Enrico Fucile, Chief of the WMO Information Systems Section at the World Meteorological Organization, explained the foundational logic of WMO's approach to early warning systems by working backwards through the chain from warning to forecast to observation . He emphasised that generating an accurate forecast requires millions of observations per day, and that this in turn requires the willingness to share observations and a system capable of sharing them in real time globally . If any part of this chain is not functioning, the forecast will be inaccurate, the warning will not reach populations on time, or will not be precise enough to be actionable .
A critical milestone in enabling this chain was the WMO Unified Data Policy, adopted by all WMO members in 2021, under which they agreed to share data globally on a free and restricted basis . Building on this normative foundation, WMO developed the WIS 2.0 - the WMO Information System 2.0 - to replace the previous data-sharing system, which had been in operation since the 1970s and required modernisation . As an editorial synthesis of Dr. Fucile's presentation, WIS 2.0 rests on three interconnected elements: open data, in accordance with the unified data policy; open standards, enabling interoperability across very different national systems and vendors; and open-source software, to support broad participation . The global infrastructure is currently supported by 11 countries - the United States, China, Brazil, Canada, France, Germany, Japan, Morocco, Saudi Arabia, South Korea, and the United Kingdom - which run the system despite having very different technical environments, made possible precisely because of the open standards architecture . A strong capacity development programme and the provision of open-source software enabled broader participation, and as of early 2025, when the system became operational, more than 90 countries are sharing data in real time . Dr. Fucile summarised the achievement as a demonstration that open data, open standards, and open-source software can together make a genuinely global data-sharing system a reality in support of early warning systems .
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ITU's Role in Warning Dissemination and Enabling Environments
Ms. Delgado provided complementary inputs on ITU's work in supporting countries to use ICTs for disaster risk reduction, making a point of emphasis that technologies alone are not enough . She argued that every technology must be supported by an enabling environment comprising clear roles and responsibilities, effective coordination mechanisms, standard operating procedures, institutional capacities, and robust policy, legal, and regulatory frameworks - without which no technology or programme can advance on the ground . In this context, she highlighted ITU's support for countries in developing national emergency telecommunications plans, which address how ICTs and digital technologies should be integrated into disaster risk reduction and early warning systems . Spectrum management and the clear allocation of roles and responsibilities within national plans are essential prerequisites for advancing the use of ICTs in disaster preparedness .
ITU leads Pillar 3 of the Early Warning for All initiative, which focuses on warning dissemination and communication . Within this framework, ITU is supporting countries in implementing cell broadcast technology - similar to an SMS, it uses a separate channel of mobile networks that does not congest the network, ensuring that alerts reach recipients even during emergencies - as well as the Common Alerting Protocol, which enables any technology to be used for alert dissemination .
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Cross-Cutting Themes and Areas of Consensus
Across all three thematic areas, a number of cross-cutting themes emerged with remarkable consistency. The principle that reliable, comparable, and transparent data is the indispensable foundation for effective environmental governance was articulated independently by every speaker. Ms. Biesiada called for evidence-based policies ; Ms. Ponce stated that 'better measurement is the foundation, the starting point for more sustainable digital regulation' ; Ms. Mwoga invoked the principle that 'what you cannot measure, you cannot control' ; Ms. Pralat stated that 'you cannot manage what you cannot measure' ; and Dr. Fucile's entire WIS 2.0 system is premised on the need for millions of real-time observations to generate accurate forecasts . This convergence across three distinct policy domains reflects a deep, shared commitment to evidence-based governance.
Similarly, all speakers agreed that clear legal and regulatory frameworks are prerequisites for effective environmental governance. Ms. Ponce demonstrated this through RCEP's experience of expanding its legal mandate ; Ms. Pralat provided empirical evidence that countries with e-waste legislation achieve on average a 25% collection and recycling rate compared to near zero without such frameworks ; and Ms. Delgado emphasised that an enabling environment with robust policy, legal, and regulatory frameworks is a prerequisite for any technology to function effectively . The necessity of multi-stakeholder collaboration was equally consistent across all contributions, with Ms. Biesiada stating explicitly that no single institution or government can address these challenges alone , and other speakers reinforcing this through examples of public-private partnerships, collaborative regulatory processes, and community-of-practice approaches . Dr. Fucile's WIS 2.0 discussion further illustrated the value of international data-sharing agreements as a foundation for global cooperation .
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Tensions and Divergences
The session also implicitly surfaced some differences in emphasis and approach that are worth noting as editorial observations. A tension emerged between Ms. Ponce's advocacy for a deliberate, incremental regulatory approach - starting with a limited number of indicators and actors and progressively expanding scope - and Ms. Mwoga's sense of urgency, warning that data centre energy and water demand could double by 2030 if current trends continue and that risks had been 'left on the side way' . While both agreed that better data is needed, they differed in the implied pace and manner of building governance frameworks.
A related divergence appeared between Ms. Ponce's emphasis on mandatory legal mandates as essential for ensuring consistency and compliance , and Ms. Pralat's highlighting of the Zambia voluntary EPR pilot as an innovative and pragmatic interim model . This reflects a broader tension between mandatory regulatory frameworks and voluntary, collaborative compliance mechanisms - a tension with direct implications for the effectiveness of e-waste and environmental reporting frameworks, given Ms. Pralat's own empirical evidence that countries without mandatory legislation achieve near-zero collection rates . Additionally, when addressing AI governance, Ms. Ponce focused primarily on technical and regulatory solutions such as improved measurement and eco-design , while Ms. Mwoga placed greater emphasis on equity and inclusion, noting that developing countries with different capacities and infrastructure must be central to the design and deployment conversation .
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Unresolved Issues and Areas for Further Action
The session identified several significant unresolved issues. The specific methodologies, metrics, and reporting frameworks needed to consistently measure and monitor the environmental footprint of AI systems have not yet been agreed upon globally, and the lack of consistent evidence and transparency in this area remains an open challenge . The question of how to ensure that developing countries can participate equitably in the design, deployment, and governance of AI and digital technologies was raised but not fully resolved . The session also did not address in detail how to coordinate the various national and international environmental data collection efforts into a coherent global ICT emissions database, though ITU's Greening Digital Dashboard was noted as a step in this direction .
Several concrete action items and commitments were nonetheless identified. ITU committed to continuing publication of the Greening Digital Companies Report and supporting national regulators through the Expert Group on Telecommunication and ICT Indicators . RCEP indicated it would further expand its annual environmental data collection to include cloud service providers and generative AI service providers . UNEP, following its UNEA-7 mandate, will work with stakeholders to strengthen the global evidence base on AI's environmental sustainability and facilitate knowledge exchange . WMO will continue operating and expanding WIS 2.0, which became operational at the beginning of 2025 . ITU's Creating a Circular Economy for Electronics programme will continue supporting regulators in more than 23 countries, including through the voluntary EPR pilot in Zambia . A new edition of the Global E-Waste Monitor with updated data is also planned for release the following year .
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Closing Remarks
Ms. Delgado closed the session by thanking all panellists and participants, noting that the discussion had reinforced the need to address digital transformation and environmental sustainability together through strong cooperation, evidence-based policies, and practical action on the ground. Due to time constraints, a live question-and-answer session was not possible, but participants were invited to submit questions, with the organising team committing to share a contact email address for follow-up . The session concluded with an invitation to participants to return for the Action Line C7 session on e-environment at the following year's WSIS Forum .
Digital technologies offer enormous promise for environmental monitoring, climate action, and disaster preparedness, but also carry their own significant environmental footprint - Digital transformation as both challenge and solution
Arg. 1Ms. Biesiada argues that digital technologies present a dual reality: they are powerful tools for addressing environmental challenges such as climate change and biodiversity loss, while simultaneously generating their own environmental costs through energy consumption, emissions, and resource use. This duality means that digital transformation cannot be viewed as inherently green or inherently harmful, but must be managed carefully to maximise benefits and minimise harms.
She noted that digital technologies help monitor climate change, biodiversity loss, and pollution, improve access to environmental data, support early warning systems, and strengthen disaster preparedness . At the same time, data centres, networks, connected devices, and AI all require energy, materials, and infrastructure, contributing to emissions, electronic waste, and growing pressure on natural resources .
on: Digital technologies are simultaneously tools for addressing environmental challenges and sources of significant environmental harm - the dual nature of digital transformation
Digitalization contributes to emissions, electronic waste, and growing pressure on natural resources, meaning environmental dimensions must be integrated into digital policy from the outset - Environmental footprint cannot be treated as secondary
Arg. 2Ms. Biesiada contends that because digitalisation carries a significant environmental footprint, environmental considerations can no longer be an afterthought in digital policy. They must be embedded from the beginning into digital policy, environmental governance, and sustainable development planning.
She explicitly stated that the environmental dimensions of digital transformation can no longer be treated as secondary and must be part of digital policy, environmental governance, and sustainable development planning from the outset .
on: Reliable data and measurement are the essential foundation for effective environmental governance of digital technologies
Addressing the environmental dimensions of digital transformation requires collaboration across governments, regulators, UN entities, industry, academia, and civil society, as no single institution can do it alone - Collaboration as essential condition
Arg. 3Ms. Biesiada emphasises that the complexity and global scale of the environmental challenges posed by digital transformation make it impossible for any single actor to address them alone. Effective solutions require coordinated collaboration across a wide range of stakeholders and institutions.
She stated that this challenge will require collaboration across governments, regulators, UN entities, industry, academia, and civil society, and that no single institution or government can do it alone .
on: Multi-stakeholder collaboration across governments, industry, civil society, and international organisations is essential, as no single actor can address the environmental challenges of digital transformation alone
ITU supports countries in assessing the environmental performance of the digital industry through the Greening Digital Companies Report and the Greening Digital Dashboard, tracking emissions and energy use of 200 leading technology companies - ITU's environmental performance assessment tools
Arg. 1Ms. Delgado, presenting on behalf of ITU, explains that the organisation contributes to environmental governance by producing tools that assess and publicise the environmental performance of major technology companies. These tools provide open data to track progress and lay the groundwork for a future global ICT emissions database.
ITU, together with the World Benchmarking Alliance, publishes the annual Greening Digital Companies Report, which reviews the emissions, energy use, and climate commitments of 200 leading technology companies . The latest edition was released during World Environment Day and feeds into the Greening Digital Dashboard, which provides open data to track progress and lays the foundation for a future global ICT emissions database .
on: Reliable data and measurement are the essential foundation for effective environmental governance of digital technologies
Technologies alone are insufficient; an enabling environment comprising clear roles, responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is essential for effective use of ICTs in disaster risk reduction - Enabling environment as prerequisite for technology effectiveness
Arg. 2Ms. Delgado argues that technology is only one component of effective disaster risk reduction; without a supportive institutional and regulatory environment, even the best technologies will fail to deliver results. Clear governance structures, legal frameworks, and coordination mechanisms are prerequisites for technology to function effectively in emergencies.
She emphasised that an enabling environment must include clear roles, clear responsibilities, effective coordination mechanisms, standard operating procedures, institutional capacities, and robust policy, legal, and regulatory frameworks, without which no technology or programme can advance on the ground . She also noted that spectrum management and clearly defined roles and responsibilities in national plans are essential for advancing the use of ICTs in disaster preparedness .
on: Multi-stakeholder collaboration across governments, industry, civil society, and international organisations is essential, as no single actor can address the environmental challenges of digital transformation alone
ITU supports countries in implementing cell broadcast technology and the Common Alerting Protocol to ensure effective warning dissemination and communication as part of the Early Warning for All initiative - ITU's role in warning dissemination
Arg. 3Ms. Delgado describes ITU's practical role in helping countries build early warning systems, specifically through the deployment of cell broadcast technology and the Common Alerting Protocol. These tools enable timely and reliable alert dissemination to populations at risk.
She explained that cell broadcast is a technology that sends messages to mobile devices using a separate channel from standard SMS, which does not congest networks, ensuring messages are received . ITU is supporting countries to implement cell broadcast and is also providing training on the Common Alerting Protocol, which enables any technology to be used for alert dissemination . This work is part of ITU's leadership of Pillar 3 of the Early Warning for All initiative, focused on warning dissemination and communication .
on: Capacity development and inclusive participation of developing countries are essential for equitable and effective global environmental governance of digital technologies
Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation; ARCEP launched its environmental data collection from telecom operators in 2020 and has progressively expanded its scope - Data as the starting point for regulation
Arg. 1Ms. Ponce argues that before any effective environmental regulation of the digital sector can be designed, regulators must first establish a solid evidence base through reliable and comparable data. ARCEP's experience demonstrates how starting with data collection and progressively expanding its scope can build the knowledge necessary for data-driven regulation.
ARCEP launched its first environmental data collection from telecom operators in 2020, with the objective of publishing an annual survey gathering environmental indicators across the digital ecosystem . The scope of the annual survey, named 'Achieving Digital Sustainability', has gradually expanded from telecom operators to device manufacturers, data centre operators, and network equipment manufacturers, with further additions planned for cloud service providers and generative AI services .
on: Reliable data and measurement are the essential foundation for effective environmental governance of digital technologies
on: Priority focus within AI environmental governance: measurement and eco-design versus inclusion and equity
A collaborative and incremental approach to data collection, involving stakeholders from early stages and expanding scope gradually, is essential for effective environmental regulation - Collaborative and gradual regulatory approach
Arg. 2Ms. Ponce contends that the success of ARCEP's environmental data collection is rooted in a collaborative and gradual methodology, where stakeholders are engaged from the outset and the scope of data collection is expanded step by step. This approach builds trust, ensures relevance, and improves compliance.
She explained that stakeholders are involved from the very early stages to identify relevant indicators, and every annual data collection is formalised through a regulatory decision adopted after public consultation . ARCEP started with a limited number of indicators and actors and has progressively expanded the scope of the data collection, with experience teaching that this collaborative and incremental approach is essential .
on: Gradualism versus urgency in environmental governance of digital technologies
A clear legal mandate is necessary to ensure consistency in reporting and high levels of compliance from industry actors - Legal mandate as prerequisite
Arg. 3Ms. Ponce highlights that beyond good intentions and collaborative processes, a clear legal mandate is indispensable for ensuring that environmental data reporting is consistent and that industry actors comply at a high level. Without such a mandate, reporting risks being fragmented and unreliable.
She noted that in late 2021, ARCEP's legal mandate was expanded, giving it the power to collect environmental data from a large number of players across the entire digital value chain . She concluded that a clear legal mandate is needed to ensure consistency in reporting and a high level of compliance .
on: Clear legal and regulatory frameworks are prerequisites for effective environmental governance of the digital sector
on: Voluntary versus mandatory approaches to industry compliance in environmental governance
Artificial intelligence presents two sides: enormous potential to accelerate environmental action, but also significant risks including rapidly growing energy and water demand - AI as a double-edged tool
Arg. 1Ms. Mwoga argues that AI is neither purely beneficial nor purely harmful for the environment; it offers significant opportunities for environmental monitoring and resource efficiency, while also generating substantial and growing demands for energy and water. Policymakers must recognise and manage both dimensions.
She noted useful AI applications across climate, biodiversity monitoring, disaster risk reduction, and resource efficiency . However, research shows that data centres consume large amounts of electricity annually, and various studies suggest that if current trends continue, water and electricity demand will double by 2030 .
on: Digital technologies are simultaneously tools for addressing environmental challenges and sources of significant environmental harm - the dual nature of digital transformation
Policymakers must pay attention to the lack of consistent evidence and transparency regarding AI's environmental impacts; common methodologies, metrics, and reporting frameworks are urgently needed - Evidence and transparency gaps in AI governance
Arg. 2Ms. Mwoga identifies the absence of consistent evidence and transparency as a critical governance gap that prevents effective action on AI's environmental footprint. Without common methodologies and reporting frameworks, it is impossible to measure, monitor, or mitigate the environmental risks of AI.
She stated that the lack of consistent evidence and transparency does not give a clear picture of what actions should be taken, invoking the principle that 'what you cannot measure, you cannot control' . She called for all stakeholders to come together with methodologies, metrics, and reporting frameworks to ensure that private sector and relevant stakeholders in the AI domain can monitor and measure how devices contribute to environmental footprints .
on: Reliable data and measurement are the essential foundation for effective environmental governance of digital technologies
on: Gradualism versus urgency in environmental governance of digital technologies
Inclusion of all stakeholders and all countries, including developing nations, in the design, planning, and deployment of AI systems is critical to equitable and sustainable digital transformation - Inclusive governance of AI
Arg. 3Ms. Mwoga argues that the governance of AI must be genuinely inclusive, encompassing both developed and developing countries as well as civil society and major groups. Countries have different needs and capacities, and these differences must be reflected in how AI systems are designed and deployed.
She noted that countries are adopting AI with different needs and different capacities, with some lacking infrastructure, energy, governance policies, and capacity . She emphasised that as AI is designed, planned, and deployed, all stakeholders and countries, including developed and developing nations, major groups, and civil society, must be included in the discussion .
on: Capacity development and inclusive participation of developing countries are essential for equitable and effective global environmental governance of digital technologies
on: Priority focus within AI environmental governance: measurement and eco-design versus inclusion and equity
UNEP's mandate from the UN Environment Assembly to assess the environmental sustainability of AI calls for collective action across the AI value chain, including contributing scientific knowledge, facilitating global exchange, and providing guidance on sustainable AI design and deployment - Collective action across the AI value chain
Arg. 4Ms. Mwoga explains that UNEP has been given a formal mandate by member states to assess the environmental sustainability of AI, which requires coordinated action from all actors across the AI value chain. This mandate frames collective action not merely as desirable but as a formal obligation.
During the United Nations Environment Assembly Session 7, member states adopted a resolution requesting UNEP to work with stakeholders and partners to understand the environmental sustainability of AI, with the main asks being to strengthen global evidence of both opportunities and risks and to facilitate knowledge exchange and sharing of scalable use cases . She called for all actors to contribute scientific knowledge, facilitate global exchange, or provide guidance on how AI systems can be sustainably designed, deployed, and used .
on: Multi-stakeholder collaboration across governments, industry, civil society, and international organisations is essential, as no single actor can address the environmental challenges of digital transformation alone
Accurate data on e-waste quantities, collection rates, and material recovery is the first essential component of an effective national e-waste management framework, as you cannot manage what you cannot measure - Data as foundation of e-waste management
Arg. 1Ms. Pralat argues that reliable data is the indispensable starting point for any effective e-waste management system, as without accurate information on quantities generated, collected, and recycled, it is impossible to design or evaluate policy interventions. She highlights the scale of the problem and the value of the materials at stake.
She noted that e-waste remains the fastest growing waste stream globally, with billions of dollars' worth of valuable materials such as copper, gold, iron, and rare earth embedded within it, yet much of this e-waste continues to flow outside formal collection and recycling channels . Data from the slide showed that the growth of e-waste generation is outpacing formal collection and recycling by a factor of five . ITU issues global e-waste monitors and national e-waste monitors to provide this data .
on: Reliable data and measurement are the essential foundation for effective environmental governance of digital technologies
Clear legal and regulatory frameworks that define roles and responsibilities across the entire value chain are critical; countries with e-waste legislation achieve on average a 25% collection and recycling rate, compared to near zero without such frameworks - Impact of legislation on e-waste outcomes
Arg. 2Ms. Pralat presents empirical evidence that the existence of clear e-waste legislation has a dramatic and measurable impact on collection and recycling outcomes. She argues that without a clear regulatory framework defining the responsibilities of all actors in the value chain, e-waste management efforts remain fragmented and ineffective.
She stated that in countries where there is e-waste legislation, they achieve on average a 25% collection and recycling rate, while in countries without such frameworks, collection rates remain closer to zero . She emphasised that legislation must clearly define the roles and responsibilities of stakeholders across the value chain, including governments, producers, importers, recyclers, and consumers .
on: Clear legal and regulatory frameworks are prerequisites for effective environmental governance of the digital sector
Extended Producer Responsibility (EPR) is one of the most effective policy tools for financing e-waste collection and recycling, and when well-designed, it also creates incentives for repairability, longer product lifespans, and greater resource efficiency - EPR as a key financing and incentive mechanism
Arg. 3Ms. Pralat argues that EPR is not merely a financing mechanism but a powerful policy tool that, when well-designed, reshapes producer behaviour towards more sustainable product design and longer product lifespans. It also serves as a platform for collaboration between the public and private sectors.
She explained that under EPR, producers and importers of electronic equipment are financially responsible for supporting the collection, treatment, and recycling of products at end of life . When designed effectively, EPR creates incentives for increased repairability, longer product lifespans, and greater resource efficiency, and serves as a powerful platform for collaboration between the private and public sector .
Regulators should act not only as enforcement bodies but as facilitators, conveners, and ecosystem builders, creating clear and predictable rules that encourage industry and consumer participation in circular economy systems - Expanded role of regulators in circular economy
Arg. 4Ms. Pralat challenges the traditional view of regulators as purely enforcement bodies, arguing that their role in building circular economy systems is much broader. By creating clear and predictable rules and engaging stakeholders proactively, regulators can foster trust and encourage voluntary participation from industry and consumers.
She noted that businesses are far more willing to invest in compliance systems, recycling, and take-back programmes when there is a clear, transparent regulatory environment . She cited the example of Zambia, where ITU supported the development of an ICT sector-led EPR approach through a partnership between the regulator and the ICT Association, creating a voluntary approach to test the functioning of extended producer responsibility . Similar collaborative approaches were noted in Rwanda and Paraguay .
on: Multi-stakeholder collaboration across governments, industry, civil society, and international organisations is essential, as no single actor can address the environmental challenges of digital transformation alone
on: Voluntary versus mandatory approaches to industry compliance in environmental governance
Regulators can stimulate innovation and circular business models by supporting repair and refurbishment initiatives, encouraging secondary markets, and promoting sustainable public procurement, demonstrating that regulatory bodies are key partners in building sustainable ecosystems - Regulators as ecosystem builders and innovation stimulators
Arg. 5Ms. Pralat argues that regulators have a proactive role to play in stimulating the transition to a circular economy by using their convening power and regulatory tools to encourage innovation and sustainable business practices. This positions regulators as partners in building sustainable digital ecosystems rather than passive enforcers.
She stated that regulators can stimulate circular business models by supporting repair and refurbishment initiatives, encouraging secondary markets for export, and promoting sustainable public procurement to create the right incentives .
WMO developed the WIS 2.0 system based on open data, open standards, and open-source software to enable real-time global sharing of earth observation data, which is essential for accurate forecasting and timely early warnings - WIS 2.0 as global data-sharing infrastructure
Arg. 1Dr. Fucile explains that WMO's WIS 2.0 system was built on the principles of open data, open standards, and open-source software to create a genuinely interoperable global infrastructure for sharing earth observation data in real time. This infrastructure is the backbone of the global early warning system, as accurate forecasts depend on the timely availability of millions of observations per day.
He explained that to make an accurate forecast, millions of observations per day are needed, and if any part of the data-sharing chain is not working, the forecast will not be accurate and warnings will not reach populations on time . WIS 2.0 is operational since the beginning of 2025, with more than 90 countries sharing data in real time, made possible by the use of open standards across 11 countries running the global infrastructure with very different systems and vendors .
The WMO Unified Data Policy of 2021, under which member states agreed to share all data necessary for the safeguard of life and property on a free and unrestricted basis, was a key milestone enabling the development of WIS 2.0 - WMO Unified Data Policy as foundational milestone
Arg. 2Dr. Fucile identifies the WMO Unified Data Policy of 2021 as a critical political and institutional milestone that created the foundation for the technical development of WIS 2.0. By securing member state agreement to share data freely and without restriction, WMO established the normative basis for a truly open global data-sharing system.
He stated that all WMO members agreed on the WMO Unified Data Policy in 2021, committing to share globally on a free and unrestricted basis all data necessary for the safeguard of life and property, which he described as a key milestone for WMO . From that point on, WMO began developing WIS 2.0 to share this data globally in real time, replacing a previous system that had been in place since the 1970s .
A strong capacity development programme and the provision of open-source software enabled more than 90 countries to share data in real time through WIS 2.0, making the system genuinely global and inclusive - Capacity development enabling global participation
Arg. 3Dr. Fucile highlights that the global reach of WIS 2.0 was made possible not only by technical design choices but also by a deliberate investment in capacity development and the provision of open-source software to all countries. This ensured that participation was not limited to well-resourced nations.
He noted that to allow all countries to share data, WMO had a strong capacity development programme and supported all countries with open-source software . As a result, more than 90 countries are sharing data in real time through WIS 2.0, which has been operational since the beginning of 2025 .
on: Capacity development and inclusive participation of developing countries are essential for equitable and effective global environmental governance of digital technologies
Session Knowledge Graph
Speakers · Topics · Arguments · Relationships
All speakers converged on the principle that reliable, comparable, and transparent data is the indispensable starting point for any effective environmental governance of digital technologies. Ms. Biesiada established that environmental dimensions must be integrated into digital policy from the outset . Ms. Ponce argued that digital strategy must be grounded in reliable, comparable, and transparent data on environmental footprints, noting that such data were missing when ARCEP launched its first environmental data collection in 2020 . Ms. Mwoga invoked the principle that 'what you cannot measure, you cannot control', calling for common methodologies, metrics, and reporting frameworks . Ms. Pralat stated explicitly that 'you cannot manage what you cannot measure' and identified accurate data as the first essential component of an effective e-waste framework . Ms. Delgado highlighted ITU's Greening Digital Companies Report and Greening Digital Dashboard as tools for tracking emissions and energy use of 200 leading technology companies .
Digitalization contributes to emissions, electronic waste, and growing pressure on natural resources, meaning environmental dimensions must be integrated into digital policy from the outset - Environmental footprint cannot be treated as secondary
Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation; ARCEP launched its environmental data collection from telecom operators in 2020 and has progressively expanded its scope - Data as the starting point for regulation
Policymakers must pay attention to the lack of consistent evidence and transparency regarding AI's environmental impacts; common methodologies, metrics, and reporting frameworks are urgently needed - Evidence and transparency gaps in AI governance
Accurate data on e-waste quantities, collection rates, and material recovery is the first essential component of an effective national e-waste management framework, as you cannot manage what you cannot measure - Data as foundation of e-waste management
ITU supports countries in assessing the environmental performance of the digital industry through the Greening Digital Companies Report and the Greening Digital Dashboard, tracking emissions and energy use of 200 leading technology companies - ITU's environmental performance assessment tools
Ms. Biesiada, Ms. Mwoga, and Ms. Delgado all acknowledged that digital technologies present a dual reality. Ms. Biesiada noted that digital technologies help monitor climate change, biodiversity loss, and pollution and support early warning systems , while simultaneously data centres, networks, connected devices, and AI all require energy, materials, and infrastructure, contributing to emissions, electronic waste, and growing pressure on natural resources . Ms. Mwoga echoed this framing specifically for AI, noting useful applications across climate, biodiversity monitoring, disaster risk reduction, and resource efficiency , but also warning that data centres consume large amounts of electricity and that water and electricity demand could double by 2030 if current trends continue . Ms. Delgado reinforced this by noting that digital technologies can support climate action and sustainable development, but that the growing environmental footprint highlights the need for reliable data, common methodologies, and informed policies .
Digital technologies offer enormous promise for environmental monitoring, climate action, and disaster preparedness, but also carry their own significant environmental footprint - Digital transformation as both challenge and solution
Artificial intelligence presents two sides: enormous potential to accelerate environmental action, but also significant risks including rapidly growing energy and water demand - AI as a double-edged tool
Technologies alone are insufficient; an enabling environment comprising clear roles, responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is essential for effective use of ICTs in disaster risk reduction - Enabling environment as prerequisite for technology effectiveness
Ms. Ponce, Ms. Pralat, and Ms. Delgado all stressed that clear legal mandates and regulatory frameworks are indispensable for effective environmental governance. Ms. Ponce noted that ARCEP's legal mandate was expanded in late 2021 to collect environmental data from a large number of players across the entire digital value chain , and concluded that a clear legal mandate is needed to ensure consistency in reporting and a high level of compliance . Ms. Pralat presented empirical evidence that countries with e-waste legislation achieve on average a 25% collection and recycling rate, while countries without such frameworks have collection rates closer to zero , and emphasised that legislation must clearly define the roles and responsibilities of all stakeholders across the value chain . Ms. Delgado argued that an enabling environment must include clear roles, clear responsibilities, effective coordination mechanisms, standard operating procedures, institutional capacities, and robust policy, legal, and regulatory frameworks, without which no technology or programme can advance on the ground .
A clear legal mandate is necessary to ensure consistency in reporting and high levels of compliance from industry actors - Legal mandate as prerequisite
Clear legal and regulatory frameworks that define roles and responsibilities across the entire value chain are critical; countries with e-waste legislation achieve on average a 25% collection and recycling rate, compared to near zero without such frameworks - Impact of legislation on e-waste outcomes
Technologies alone are insufficient; an enabling environment comprising clear roles, responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is essential for effective use of ICTs in disaster risk reduction - Enabling environment as prerequisite for technology effectiveness
All speakers emphasised that addressing the environmental dimensions of digital transformation requires coordinated collaboration across multiple stakeholders. Ms. Biesiada stated explicitly that this challenge will require collaboration across governments, regulators, UN entities, industry, academia, and civil society, and that no single institution or government can do it alone . Ms. Mwoga called for all actors across the AI value chain to contribute scientific knowledge, facilitate global exchange, or provide guidance on how AI systems can be sustainably designed, deployed, and used , and noted that the UN Environment Assembly adopted a resolution requesting UNEP to work with stakeholders and partners on the environmental sustainability of AI . Ms. Pralat highlighted that EPR serves as a powerful platform for collaboration between the private and public sector , and that regulators can act as facilitators, conveners, and ecosystem builders . Ms. Delgado reinforced that digital transformation and environmental sustainability must be addressed together through strong cooperation, evidence-based policies, and practical action on the ground .
Addressing the environmental dimensions of digital transformation requires collaboration across governments, regulators, UN entities, industry, academia, and civil society, as no single institution can do it alone - Collaboration as essential condition
UNEP's mandate from the UN Environment Assembly to assess the environmental sustainability of AI calls for collective action across the AI value chain, including contributing scientific knowledge, facilitating global exchange, and providing guidance on sustainable AI design and deployment - Collective action across the AI value chain
Regulators should act not only as enforcement bodies but as facilitators, conveners, and ecosystem builders, creating clear and predictable rules that encourage industry and consumer participation in circular economy systems - Expanded role of regulators in circular economy
Technologies alone are insufficient; an enabling environment comprising clear roles, responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is essential for effective use of ICTs in disaster risk reduction - Enabling environment as prerequisite for technology effectiveness
Ms. Mwoga, Dr. Fucile, and Ms. Delgado all highlighted the importance of capacity development and inclusive participation, particularly for developing countries. Ms. Mwoga noted that countries are adopting AI with different needs and different capacities, with some lacking infrastructure, energy, governance policies, and capacity, and emphasised that all stakeholders and countries, including developed and developing nations, major groups, and civil society, must be included in the discussion . Dr. Fucile explained that WMO had a strong capacity development programme and supported all countries with open-source software, resulting in more than 90 countries sharing data in real time through WIS 2.0 . Ms. Delgado described ITU's support for countries in implementing cell broadcast technology and the Common Alerting Protocol as part of the Early Warning for All initiative .
Inclusion of all stakeholders and all countries, including developing nations, in the design, planning, and deployment of AI systems is critical to equitable and sustainable digital transformation - Inclusive governance of AI
A strong capacity development programme and the provision of open-source software enabled more than 90 countries to share data in real time through WIS 2.0, making the system genuinely global and inclusive - Capacity development enabling global participation
ITU supports countries in implementing cell broadcast technology and the Common Alerting Protocol to ensure effective warning dissemination and communication as part of the Early Warning for All initiative - ITU's role in warning dissemination
Both Ms. Biesiada and Ms. Mwoga framed digital and AI technologies as fundamentally double-edged, offering significant environmental benefits while simultaneously generating substantial environmental costs. Ms. Biesiada stated that digital technologies are both part of the environmental challenge and part of the solution , noting that they help monitor climate change and support early warning systems while also contributing to emissions, electronic waste, and growing pressure on natural resources . Ms. Mwoga echoed this framing specifically for AI, noting that AI gives us two sides of the coin , with enormous potential to accelerate environmental action across climate, biodiversity monitoring, disaster risk reduction, and resource efficiency , but also significant risks including rapidly growing energy and water demand that could double by 2030 . Both speakers concluded that responsible and cautious use is required, with Ms. Mwoga explicitly calling for responsible use of AI to ensure it helps both people and the planet . Both Ms. Ponce and Ms. Pralat, coming from different regulatory contexts, independently identified reliable data as the indispensable first step for effective environmental regulation. Ms. Ponce argued that for digital strategy to support digital transformation and environmental sustainability, reliable, comparable, and transparent data on the environmental footprint is needed first, noting that such data were missing when ARCEP launched its environmental data collection in 2020 . Ms. Pralat similarly stated that an effective e-waste framework requires reliable information on quantities of e-waste, collection and recycling rates, and material recovery performance, invoking the principle that 'you cannot manage what you cannot measure' . Both also highlighted the progressive and collaborative nature of data collection, with Ms. Ponce describing ARCEP's gradual expansion from telecom operators to device manufacturers and data centre operators , and Ms. Pralat noting that ITU issues global and national e-waste monitors to provide comparable data . Both Ms. Ponce and Ms. Pralat argued that regulators must transcend their traditional enforcement role and act as facilitators, conveners, and ecosystem builders. Ms. Ponce described ARCEP's collaborative and gradual approach, where stakeholders are involved from the very early stages to identify relevant indicators and every annual data collection is formalised through a regulatory decision adopted after public consultation , concluding that this collaborative and incremental approach is essential . Ms. Pralat explicitly noted that traditionally regulators have been viewed mainly as enforcement bodies, but that their role can be much broader as facilitators, conveners, and ecosystem builders , and cited the example of Zambia where ITU supported the development of an ICT sector-led EPR approach through a partnership between the regulator and the ICT Association . Both Dr. Fucile and Ms. Delgado emphasised that effective use of ICTs for disaster risk reduction and early warning requires not only the right technology but also a robust enabling environment of policies, frameworks, and coordination mechanisms. Dr. Fucile explained that WMO first secured member state agreement on the WMO Unified Data Policy in 2021 before developing WIS 2.0, establishing the normative and institutional foundation before the technical system , and that the system's success across 11 countries with very different vendors and systems was possible only because of open standards and coordinated collaboration . Ms. Delgado similarly emphasised that technologies alone are not enough and that an enabling environment must include clear roles, clear responsibilities, effective coordination mechanisms, standard operating procedures, institutional capacities, and robust policy, legal, and regulatory frameworks , and that spectrum management and clearly defined roles and responsibilities in national plans are essential for advancing the use of ICTs in disaster preparedness . Ms. Ponce, Ms. Mwoga, and Ms. Pralat all converged on the view that without clear legal mandates and common reporting frameworks, environmental governance of the digital sector remains fragmented and ineffective. Ms. Ponce noted that a clear legal mandate is needed to ensure consistency in reporting and a high level of compliance , drawing on ARCEP's experience of expanding its legal mandate in 2021 . Ms. Mwoga called for all stakeholders to come together with methodologies, metrics, and reporting frameworks to ensure that private sector and relevant stakeholders in the AI domain can monitor and measure how devices contribute to environmental footprints , invoking the principle that 'what you cannot measure, you cannot control' . Ms. Pralat demonstrated empirically that countries with e-waste legislation achieve on average a 25% collection and recycling rate compared to near zero without such frameworks , and that without a clear regulatory framework, e-waste management efforts tend to stall and often remain fragmented .
It is somewhat unexpected that both Ms. Ponce, representing a national telecom regulator (ARCEP), and Ms. Pralat, working on e-waste and circular economy policy at ITU, independently and strongly converged on the view that regulators must move beyond their traditional enforcement role. Ms. Ponce described ARCEP's collaborative and gradual approach, where stakeholders are involved from the very early stages to identify relevant indicators , and noted that this collaborative and incremental approach is essential . Ms. Pralat explicitly stated that traditionally regulators have been viewed mainly as enforcement bodies, but that their role can be much broader as facilitators, conveners, and ecosystem builders , and that businesses are far more willing to invest in compliance systems when there is a clear, transparent regulatory environment . This consensus is unexpected because it challenges the conventional regulatory paradigm from two very different institutional vantage points, suggesting a broader normative shift in how environmental regulation of the digital sector is being conceptualised across different domains.
It is notable that speakers addressing three entirely different thematic areas - ICT sector governance and policy (Ms. Ponce), AI environmental governance (Ms. Mwoga), and e-waste management (Ms. Pralat) - all independently invoked the same foundational principle that measurement is the prerequisite for management and control. Ms. Ponce argued that reliable, comparable, and transparent data is needed before any effective regulation can be designed , noting that such data were missing when ARCEP began its work . Ms. Mwoga explicitly stated that 'what you cannot measure, you cannot control' in the context of AI's environmental footprint . Ms. Pralat stated that 'you cannot manage what you cannot measure' in the context of e-waste . Ms. Delgado reinforced this through ITU's Greening Digital Companies Report and Greening Digital Dashboard . This cross-cutting consensus across three distinct policy domains is unexpected and suggests a deep, shared epistemological commitment to evidence-based governance that transcends the specific subject matter of each speaker's presentation.
Speakers from very different institutional contexts converged on the importance of open, shared data frameworks as the basis for effective global environmental governance. Dr. Fucile described how WIS 2.0 was built on open data, open standards, and open-source software, making it possible for 11 countries with very different systems and vendors to run the global infrastructure , and enabling more than 90 countries to share data in real time . Ms. Ponce emphasised that ARCEP's approach to environmental data collection is based on transparency and public consultation, with every annual data collection formalised through a regulatory decision adopted after public consultation . Ms. Mwoga called for all actors to contribute scientific knowledge and facilitate global exchange , and noted that the UN Environment Assembly resolution called for strengthening global evidence and facilitating knowledge exchange . This consensus is somewhat unexpected given that it spans meteorological data infrastructure, national telecom regulation, and AI governance - three domains that rarely converge in their methodological approaches.
The discussion revealed a remarkably high level of consensus across all six speakers, representing four different international organisations (ITU, UNEP, WMO, and ARCEP) and addressing three distinct thematic areas (ICT environmental governance and policy, e-waste and circular economy, and ICTs for disaster risk reduction). The main areas of agreement centred on four cross-cutting pillars: (1) reliable data and measurement as the indispensable foundation for any effective environmental governance ; (2) the dual nature of digital technologies as both environmental tools and environmental burdens ; (3) the necessity of clear legal and regulatory frameworks as prerequisites for effective governance ; and (4) the essential role of multi-stakeholder collaboration, with no single actor able to address these challenges alone . Additionally, there was notable consensus on the need for capacity development to ensure inclusive participation of developing countries , and on the expanded role of regulators as facilitators and ecosystem builders rather than purely enforcement bodies .
Ms. Ponce advocates for a deliberate, step-by-step regulatory approach, noting that ARCEP started with a limited number of indicators and actors and progressively expanded scope , and that this collaborative and incremental approach is essential . By contrast, Ms. Mwoga conveys a sense of urgency, warning that data centre electricity and water demand could double by 2030 if current trends continue , and that risks have been 'left on the side way' , calling for immediate collective action with common methodologies and reporting frameworks . While both agree that better data is needed, they differ on the pace and manner of building governance frameworks.
A collaborative and incremental approach to data collection, involving stakeholders from early stages and expanding scope gradually, is essential for effective environmental regulation - Collaborative and gradual regulatory approach
Policymakers must pay attention to the lack of consistent evidence and transparency regarding AI's environmental impacts; common methodologies, metrics, and reporting frameworks are urgently needed - Evidence and transparency gaps in AI governance
Ms. Ponce frames the primary contribution of regulators as generating reliable environmental knowledge, stating that 'better measurement is the foundation, the starting point for more sustainable digital regulation' , with ARCEP's role centred on data collection and publication . Ms. Pralat, while acknowledging data as important , places greater emphasis on regulators as facilitators, conveners, and ecosystem builders , arguing that their role extends to stimulating circular business models, supporting repair and refurbishment initiatives, and promoting sustainable public procurement . These represent meaningfully different conceptions of what regulators should prioritise.
Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation; ARCEP launched its environmental data collection from telecom operators in 2020 and has progressively expanded its scope - Data as the starting point for regulation
Regulators should act not only as enforcement bodies but as facilitators, conveners, and ecosystem builders, creating clear and predictable rules that encourage industry and consumer participation in circular economy systems - Expanded role of regulators in circular economy
Ms. Ponce is explicit that a clear legal mandate is needed to ensure consistency in reporting and a high level of compliance , noting that ARCEP's legal mandate was formally expanded in 2021 to compel data collection across the digital value chain . Ms. Pralat, while acknowledging the importance of legislation , highlights the value of voluntary approaches, citing the Zambia example where ITU supported an ICT sector-led EPR approach through a voluntary partnership between the regulator and the ICT Association to test the functioning of extended producer responsibility . This reflects a tension between mandatory regulatory frameworks and voluntary, collaborative compliance mechanisms.
A clear legal mandate is necessary to ensure consistency in reporting and high levels of compliance from industry actors - Legal mandate as prerequisite
Regulators should act not only as enforcement bodies but as facilitators, conveners, and ecosystem builders, creating clear and predictable rules that encourage industry and consumer participation in circular economy systems - Expanded role of regulators in circular economy
When addressing AI's environmental governance, Ms. Ponce focuses primarily on improving measurements, promoting the eco-design of AI services, and supporting the sustainable development of data centres , framing the challenge as primarily technical and regulatory. Ms. Mwoga, by contrast, places significant emphasis on inclusion, arguing that countries are adopting AI with different needs and capacities, with some lacking infrastructure, energy, governance policies, and capacity , and that all stakeholders and countries, including developed and developing nations, major groups, and civil society, must be included in the design and deployment of AI systems . This reflects a divergence between a technical-regulatory framing and a development-equity framing of AI environmental governance.
Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation; ARCEP launched its environmental data collection from telecom operators in 2020 and has progressively expanded its scope - Data as the starting point for regulation
Inclusion of all stakeholders and all countries, including developing nations, in the design, planning, and deployment of AI systems is critical to equitable and sustainable digital transformation - Inclusive governance of AI
In a session explicitly designed to foster consensus and collaboration, it is somewhat unexpected that a tension emerges between the pace and locus of action. Ms. Ponce describes ARCEP's approach as deliberately gradual and incremental, starting with a limited number of indicators and actors and progressively expanding , and frames this as a model for others. Ms. Mwoga, however, notes that these risks 'have been left on the side way' and that a formal UN Environment Assembly resolution was required to compel UNEP to act , implying that voluntary, gradual national approaches have been insufficient. This tension between a national regulator's pride in its careful, step-by-step methodology and a global body's sense of urgency about inadequate progress is unexpected in what was presented as a harmonious, collaborative forum .
Given that both speakers are presenting within the same ITU-led session and both work closely with regulators, it is unexpected that they implicitly diverge on the relative merits of mandatory versus voluntary approaches. Ms. Ponce is unambiguous that a clear legal mandate is needed to ensure consistency and high compliance , and ARCEP's approach is explicitly formalised through regulatory decisions adopted after public consultation . Ms. Pralat, however, highlights the Zambia example as 'quite innovative' , where a voluntary approach was used to test EPR functioning , and frames regulators as stimulators of innovation rather than enforcers . This divergence is unexpected because both speakers might have been expected to align on the primacy of mandatory frameworks, given the empirical evidence Ms. Pralat herself presents that countries without e-waste legislation have collection rates near zero .
While not a direct confrontation, there is an unexpected implicit tension between Dr. Fucile's presentation, which is largely technology- and system-focused, describing WIS 2.0 as a technical solution built on open data, open standards, and open-source software , and Ms. Delgado's subsequent emphasis that 'technologies alone are not enough' and that every technology needs to be supported by an enabling environment with clear roles, responsibilities, and regulatory frameworks . Dr. Fucile does mention the WMO Unified Data Policy as a foundational political milestone , but his framing is predominantly technical. Ms. Delgado's explicit corrective - that spectrum management and clearly defined roles in national plans are essential - implicitly suggests that the technical framing presented by Dr. Fucile is incomplete without the institutional and regulatory dimensions she emphasises.
The session is characterised by a high degree of surface-level consensus, with all speakers broadly agreeing on the dual nature of digital transformation for the environment , the necessity of reliable data , the importance of legal and regulatory frameworks , and the need for multi-stakeholder collaboration . However, beneath this consensus lie meaningful differences in emphasis and approach: tensions between gradualism and urgency in governance , between mandatory and voluntary compliance mechanisms , between national and global loci of action , between technical and institutional framings of solutions , and between measurement-focused and equity-focused approaches to AI governance . These disagreements are largely implicit rather than openly contested, reflecting the collaborative nature of the forum.
All speakers agree that reliable data and measurement are essential foundations for effective environmental governance of digital technologies. Ms. Biesiada calls for evidence-based policies , Ms. Ponce states that 'better measurement is the foundation, the starting point for more sustainable digital regulation' , Ms. Mwoga invokes the principle that 'what you cannot measure, you cannot control' , Ms. Pralat states that 'you cannot manage what you cannot measure' , and Dr. Fucile's entire WIS 2.0 system is premised on the need for millions of real-time observations to generate accurate forecasts . However, they differ on what data should be collected, by whom, at what pace, and through what mechanisms — ranging from ARCEP's gradual, collaborative national approach to WMO's global open-data infrastructure to UNEP's call for common international methodologies .
Digitalization contributes to emissions, electronic waste, and growing pressure on natural resources, meaning environmental dimensions must be integrated into digital policy from the outset - Environmental footprint cannot be treated as secondary Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation; ARCEP launched its environmental data collection from telecom operators in 2020 and has progressively expanded its scope - Data as the starting point for regulation Policymakers must pay attention to the lack of consistent evidence and transparency regarding AI's environmental impacts; common methodologies, metrics, and reporting frameworks are urgently needed - Evidence and transparency gaps in AI governance Accurate data on e-waste quantities, collection rates, and material recovery is the first essential component of an effective national e-waste management framework, as you cannot manage what you cannot measure - Data as foundation of e-waste management WMO developed the WIS 2.0 system based on open data, open standards, and open-source software to enable real-time global sharing of earth observation data, which is essential for accurate forecasting and timely early warnings - WIS 2.0 as global data-sharing infrastructure
All speakers agree that multi-stakeholder collaboration is necessary to address the environmental dimensions of digital transformation. Ms. Biesiada states that no single institution or government can do it alone , Ms. Ponce emphasises stakeholder involvement from early stages , Ms. Mwoga calls for all actors across the AI value chain to contribute , and Ms. Pralat highlights regulators as conveners and ecosystem builders . However, they differ on who should lead this collaboration — whether it is national regulators , international UN bodies , or industry-led partnerships — and on whether collaboration should be formalised through legal mandates or pursued through voluntary engagement .
Addressing the environmental dimensions of digital transformation requires collaboration across governments, regulators, UN entities, industry, academia, and civil society, as no single institution can do it alone - Collaboration as essential condition A collaborative and incremental approach to data collection, involving stakeholders from early stages and expanding scope gradually, is essential for effective environmental regulation - Collaborative and gradual regulatory approach UNEP's mandate from the UN Environment Assembly to assess the environmental sustainability of AI calls for collective action across the AI value chain, including contributing scientific knowledge, facilitating global exchange, and providing guidance on sustainable AI design and deployment - Collective action across the AI value chain Regulators should act not only as enforcement bodies but as facilitators, conveners, and ecosystem builders, creating clear and predictable rules that encourage industry and consumer participation in circular economy systems - Expanded role of regulators in circular economy
Ms. Ponce, Ms. Pralat, and Ms. Delgado all agree that clear legal and regulatory frameworks are essential enabling conditions. Ms. Ponce notes that a clear legal mandate is needed to ensure consistency in reporting and high compliance , Ms. Pralat presents empirical evidence that countries with e-waste legislation achieve on average a 25% collection and recycling rate compared to near zero without such frameworks , and Ms. Delgado emphasises that an enabling environment with robust policy, legal, and regulatory frameworks is a prerequisite for technology to function effectively . However, they differ in emphasis: Ms. Ponce focuses on legal mandates for data collection , Ms. Pralat on legislation defining value chain responsibilities , and Ms. Delgado on institutional coordination and spectrum management .
A clear legal mandate is necessary to ensure consistency in reporting and high levels of compliance from industry actors - Legal mandate as prerequisite Clear legal and regulatory frameworks that define roles and responsibilities across the entire value chain are critical; countries with e-waste legislation achieve on average a 25% collection and recycling rate, compared to near zero without such frameworks - Impact of legislation on e-waste outcomes Technologies alone are insufficient; an enabling environment comprising clear roles, responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is essential for effective use of ICTs in disaster risk reduction - Enabling environment as prerequisite for technology effectiveness
Both Ms. Biesiada and Ms. Mwoga agree that digital technologies, and AI in particular, present a dual reality of opportunity and risk. Ms. Biesiada frames digital technologies as 'both part of the environmental challenge and part of the solution' , noting that data centres, networks, and AI all require energy and materials and contribute to emissions . Ms. Mwoga similarly describes AI as 'two sides of the coin' , highlighting both its potential for environmental action and the risk of doubling water and electricity demand by 2030 . However, they differ in their proposed responses: Ms. Biesiada emphasises the need for collaboration and governance from the outset , while Ms. Mwoga focuses more specifically on evidence gaps, inclusion, and the formal UNEP mandate from the UN Environment Assembly .
Digital technologies offer enormous promise for environmental monitoring, climate action, and disaster preparedness, but also carry their own significant environmental footprint - Digital transformation as both challenge and solution Artificial intelligence presents two sides: enormous potential to accelerate environmental action, but also significant risks including rapidly growing energy and water demand - AI as a double-edged tool
- Digital transformation presents a dual nature for the environment: it offers enormous promise for climate monitoring, biodiversity tracking, disaster preparedness, and resource management, but also generates significant environmental footprints through energy consumption, greenhouse gas emissions, electronic waste, and pressure on natural resources. These dimensions must be integrated into digital policy from the outset rather than treated as secondary concerns.
- Reliable, comparable, and transparent environmental data are the essential foundation for sustainable digital regulation. Without accurate measurement of ICT-sector emissions, energy use, e-waste volumes, and AI-related resource consumption, effective governance is impossible. This principle was consistently emphasised across all three thematic areas of the session.
- A clear legal mandate is a prerequisite for consistent environmental reporting and high levels of industry compliance. ARCEP's experience in France demonstrates that progressively expanding the legal scope of data collection, combined with a collaborative and incremental approach involving stakeholders from early stages, is an effective regulatory model.
- Artificial intelligence is a double-edged tool: it can accelerate environmental action through improved monitoring and decision-making, but its rapidly growing demand for energy, water, and critical minerals, combined with a lack of consistent evidence and transparency, poses significant governance challenges. Common methodologies, metrics, and reporting frameworks for AI's environmental impacts are urgently needed.
- Effective national e-waste management frameworks require four key components: accurate data on waste flows and material recovery; clear legal and regulatory frameworks defining roles across the value chain; fair and sustainable financing through Extended Producer Responsibility (EPR) systems; and strong administrative arrangements to translate policy into operational practice. Countries with e-waste legislation achieve on average a 25% collection and recycling rate, compared to near zero without such frameworks.
- Regulators should be understood not merely as enforcement bodies but as facilitators, conveners, and ecosystem builders. They can stimulate circular business models, encourage repair and refurbishment, promote sustainable public procurement, and create the clear, predictable rules that incentivise industry and consumer participation in sustainable systems.
- WMO's WIS 2.0 system, built on open data, open standards, and open-source software, represents a significant milestone in enabling real-time global sharing of earth observation data. The WMO Unified Data Policy of 2021, under which member states agreed to share all data necessary for the safeguard of life and property freely and without restriction, was the foundational policy achievement that made this possible. More than 90 countries are now sharing data in real time through the system.
- Technologies alone are insufficient for effective disaster risk reduction. An enabling environment comprising clear institutional roles and responsibilities, coordination mechanisms, standard operating procedures, and robust policy, legal, and regulatory frameworks is an essential prerequisite for any technology to function effectively in practice.
- Multi-stakeholder collaboration across governments, regulators, UN entities, industry, academia, and civil society is an essential condition for addressing the environmental dimensions of digital transformation. No single institution or government can address these challenges alone.
- Inclusion of all countries, particularly developing nations, and all major stakeholder groups in the design, planning, deployment, and governance of digital and AI systems is critical to ensuring equitable and sustainable digital transformation.
“Digital technologies are both part of the environmental challenge and part of the solution. The task is to ensure that digital transformation is governed, designed and deployed in a way that reduces harm, strengthens resilience and accelerates environmental sustainability.”
“For digital strategy to support digital transformation and environmental sustainability, we first need reliable, comparable and transparent data on the environmental footprint. Based on the observation that such data were missing, RCEP launched its first environmental data collection from telecom operators in 2020.”
“What you cannot measure, you cannot control. So it's important. I call to all of us on coming together with methodologies, metrics, and reporting frameworks to ensure that private sector and all relevant stakeholders in the artificial intelligence domain have a way to monitor and measure how the devices contribute to environmental footprint.”
“In countries where there is e-waste legislation, they achieve on average a 25% collection and recycling rate. And if we look at countries without such frameworks, their collection rates remain closer to zero. So without that clear regulatory framework, e-waste management efforts tend to stall and often remain fragmented.”
“WMO has also adopted open standards... this is possible only because we implemented the WIS 2.0 based on open standards... open data, open standard, and open source software are making real a global system for data sharing that is supporting early warning systems.”
“Technologies alone are not enough... every technology need to be supported by an enabling environment. An enabling environment has clear roles, clear responsibilities, effective coordination mechanisms, standard operating procedures, institutional capacities, robust policy, legal, and regulatory frameworks. If we don't have this in place, we will not be able to use any technology or advance any program on the ground.”
How can regulatory authorities better integrate environmental considerations into national digital policies, particularly as AI deployment accelerates?
This was a central question posed to RCEP's representative. The answer touched on data collection and incremental regulatory approaches, but the broader challenge of scaling such frameworks internationally remains an open area for further exploration, especially as AI infrastructure grows rapidly.
What are the environmental risks of rapidly expanding AI infrastructure, and how should governance frameworks address them?
Ms. Mwoga highlighted growing energy and water demands from data centres, critical mineral consumption, and e-waste linked to AI. She noted that UNEP has been tasked by Member States via a UNEA resolution to investigate these risks further, indicating this is an and unresolved area requiring deeper research and international coordination.
How can consistent methodologies, metrics, and reporting frameworks for AI's environmental footprint be developed and adopted globally?
Ms. Mwoga stressed that without consistent evidence and transparency, it is impossible to understand or control AI's environmental impact. She called for collaborative development of measurement methodologies, indicating this is a significant gap requiring further research and multi-stakeholder engagement.
How can developing countries with limited infrastructure, energy access, and governance capacity be meaningfully included in the design and deployment of AI systems to ensure equitable and sustainable digital transformation?
Ms. Mwoga raised the issue of inclusion across developed and developing countries, noting differing capacities and needs. This points to a need for further research into inclusive governance models and capacity-building frameworks that do not leave lower-income nations behind.
How can cloud service providers and generative AI service providers be effectively brought into environmental data collection frameworks, and what indicators are most relevant for measuring their footprint?
RCEP indicated that future expansions of its annual environmental survey will include cloud and generative AI service providers. The methodologies and indicators for these sectors are still being developed, representing an important area for further regulatory and technical research.
What are the most effective approaches to eco-designing AI services, and how can regulators promote these practices at scale?
RCEP's report on AI's environmental impacts included recommendations on eco-design of AI services, but this remains an emerging and underexplored area. Further research is needed to develop practical guidance that can be adopted by regulators and industry globally.
How can countries without e-waste legislation be supported in establishing effective legal and regulatory frameworks, and what lessons from countries with existing frameworks can be transferred?
Ms. Pralat highlighted a stark disparity: countries with e-waste legislation achieve around 25% collection and recycling rates, while those without remain near zero. Understanding how to accelerate legislative adoption in lagging countries is a critical area for further policy research and international support.
How can Extended Producer Responsibility (EPR) systems be designed to incentivise repairability, longer product lifespans, and greater resource efficiency, beyond simply financing waste management?
Ms. Pralat noted that well-designed EPR can drive circular economy outcomes beyond waste financing, but achieving this in practice requires further research into optimal EPR design, particularly in diverse national contexts such as those in Africa and Latin America.
How can voluntary and sector-led EPR approaches, such as the one piloted in Zambia, be evaluated and potentially scaled to other countries?
The Zambia ICT sector-led EPR pilot was cited as an innovative model, but its effectiveness and replicability have not yet been fully assessed. Further research and monitoring of such voluntary approaches are needed to determine whether they can serve as viable alternatives or complements to mandatory frameworks.
How can the WIS 2.0 system be expanded to include more countries, and what barriers prevent broader participation in real-time global data sharing for early warning systems?
Dr. Fucile noted that WIS 2.0 currently has over 90 countries sharing data, but the system's effectiveness depends on universal participation. Understanding what prevents remaining countries from joining and how capacity development can address these gaps is an important area for further investigation.
How can open data, open standards, and open source software be further leveraged to strengthen early warning systems in low-capacity and developing countries?
Dr. Fucile emphasised that WIS 2.0's success is built on open principles, but the extent to which these principles can be applied in resource-constrained environments to improve early warning coverage remains an area requiring further research and practical demonstration.
How can enabling environments — including spectrum management, legal frameworks, standard operating procedures, and institutional capacities — be more effectively built in developing countries to support ICT-based disaster risk reduction?
Ms. Delgado stressed that technologies alone are insufficient without supporting policy, legal, and regulatory frameworks. The challenge of building these enabling environments, particularly in countries with limited institutional capacity, is a broad and ongoing area requiring further research and targeted support.
How can cell broadcast technology and the Common Alerting Protocol be more widely adopted and integrated into national early warning systems, particularly in countries with limited telecommunications infrastructure?
ITU's work on cell broadcast and the Common Alerting Protocol was highlighted as a key tool for warning dissemination, but widespread adoption remains incomplete. Further research into implementation barriers, interoperability, and last-mile connectivity challenges is needed to maximise coverage.
How can a future global ICT emissions database be developed, and what governance and data-sharing arrangements would be needed to ensure its reliability and comparability across countries?
Ms. Delgado mentioned that ITU's Greening Digital Dashboard is laying the foundation for a future global ICT emissions database. The design, governance, and data harmonisation challenges of such a database represent a significant area for further technical and policy research.
How can the environmental impacts of the full digital value chain — including device manufacturers, network equipment manufacturers, data centres, cloud providers, and AI services — be measured in a consistent and internationally comparable way?
Multiple speakers highlighted the fragmented and incomplete nature of current environmental data across the digital value chain. Developing harmonised, internationally agreed methodologies and indicators for the entire chain is a cross-cutting research priority identified throughout the session.
