UN-backed initiative urges AI companies to publish climate assessments and resource use
The recommendations address both the reliability of AI-generated climate information and the data needed to judge AI’s own environmental impact.
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The recommendations address both the reliability of AI-generated climate information and the data needed to judge AI’s own environmental impact.
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The proposal would make public reporting—not just internal review—a core expectation for AI companies assessing climate-related impacts. At COP31 on November 13, 2026, the Global Initiative for Information Integrity on Climate Change issued nonbinding recommendations calling for assessments of how AI systems affect trustworthy climate information, with findings published. It also urges companies to disclose energy use and carbon, water and land footprints, and governments to include information integrity in national AI strategies and climate plans.
The recommendations are a policy appeal, not a new legal requirement.
The Independent International Scientific Panel on AI warns that fluent text is easier to produce than factual text.
During climate disasters, AI-generated images and videos may spread faster than official warnings.
A new set of climate-AI recommendations asks technology companies to show their work—not just on the information their systems produce, but on the resources they consume. Launched at COP31 on November 13, 2026, the guidance calls for published impact assessments and environmental disclosures. It is a policy appeal, not a new legal requirement.
The Global Initiative for Information Integrity on Climate Change launched the Priorities for Action on AI and Climate Information Integrity in Antalya, Türkiye. The initiative is co-chaired by the United Nations, UNESCO—the UN’s scientific agency—and Brazil. Its guidance addresses what people are told by AI and what they are told about AI itself.
For AI companies, the recommendations pair an assessment duty with a publication duty. They ask developers to examine how their systems affect climate information integrity—whether people can obtain trustworthy information about climate change—and make the findings public.
The environmental disclosure request responds to a gap identified by the initiative: people are being asked to accept claims about AI’s climate impact without the data needed to evaluate them. The guidance seeks accountability and transparency, rather than declaring the technology either a climate solution or a climate liability.
The question isn't simply whether AI is good or bad for the climate. It’s whether people can rely on what they’re told by AI and about it.
Charlotte Scaddan, Information Integrity Senior Advisor, UN Global Communications
The co-chairs point to a warning from the Independent International Scientific Panel on AI: “producing fluent text is easier than producing factual text”. The UN General Assembly established that panel in 2025. Its warning underpins the initiative’s concern as more people turn to AI for climate information: a readable answer is not, by itself, evidence of accuracy.
UN News highlights a more immediate risk during climate disasters, when AI-generated images and videos can spread faster than official warnings. That concern extends beyond whether a chatbot answers a question correctly. It also involves the speed at which synthetic material can circulate alongside information intended to keep people safe.
The recommendations come from an initiative launched by Brazil, the United Nations and UNESCO at the G20 Leaders’ Summit in Rio de Janeiro in November 2024. It brings governments, international organizations and civil society together to strengthen research and action on climate information integrity.
The new Priorities are grounded in human rights and build on the Belém Declaration on Information Integrity on Climate Change, launched at COP30 in Brazil in 2025. They also draw on the UN Global Principles for Information Integrity, placing the AI recommendations within an existing information-policy framework.
Governments have a specific task in the guidance, too: integrate information integrity into national AI strategies and climate plans. The policy request reaches both sets of plans, rather than treating trustworthy climate information as solely a responsibility for the companies building AI systems.
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