Kenya champions sustainable AI in draft resolution for UN Environment Assembly
Kenya's Tech Envoy Ambassador Philip Thigo was among UNEP delegates when he submitted draft resolutions for Environmental Sustainability ahead of UNEA-7. Photo/Handout
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Kenyaโs Special Envoy on Technology, Ambassador Philip Thigo on Friday championed for sustainable AI under a draft resolution titled โ๐ฆ๐ฎ๐ณ๐ฒ, ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐น๐ฒ ๐ฎ๐ป๐ฑ ๐ฆ๐๐๐๐ฎ๐ถ๐ป๐ฎ๐ฏ๐น๐ฒ ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ณ๐ผ๐ฟ ๐ฃ๐ฒ๐ผ๐ฝ๐น๐ฒ ๐ฎ๐ป๐ฑ ๐ฃ๐น๐ฎ๐ป๐ฒ๐.โ
In the draft resolution, Kenya seeks environmental consciousness of the global AI governance architecture by placing environmental sustainability as a core pillar of the global AI order.
โ๐ณ๐๐๐ ๐๐พ๐๐๐ ๐๐๐๐๐ ๐๐พ๐พ๐๐ ๐๐ ๐พ๐๐๐๐๐พ ๐๐๐บ๐ ๐บ๐ ๐ ๐จ ๐บ๐ฝ๐๐บ๐๐ผ๐พ๐, ๐๐ ๐ฝ๐๐พ๐ ๐๐ ๐๐พ๐๐๐๐๐๐๐ป๐ ๐ โ ๐๐พ๐ฝ๐๐ผ๐๐๐ ๐๐๐ ๐พ๐๐๐๐๐๐๐๐พ๐๐๐บ๐ ๐ฟ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐พ ๐บ๐ผ๐ผ๐พ๐ ๐พ๐๐บ๐๐๐๐ ๐ผ๐ ๐๐๐บ๐๐พ ๐บ๐ผ๐๐๐๐, ๐ป๐๐๐ฝ๐๐๐พ๐๐๐๐๐ ๐๐๐๐๐พ๐ผ๐๐๐๐, ๐บ๐๐ฝ ๐๐๐ ๐ ๐๐๐๐๐ ๐๐พ๐ฝ๐๐ผ๐๐๐๐,โ said Ambassador Thigo.
In UNEA-7 resolutions, the host country of the 7th Environment Assembly provides a rationale for harnessing AI to accelerate the progress of environmental sustainability goals.
On the other hand, Kenya vouches for green AI โ which can be achieved through energy-efficient algorithms, renewable-powered compute, and circular-economy hardware design.
A dual imperative proposed by Kenya aims to protect and restore the environment while minimizing the environmental costs of AI systems.
The environment viability approach is adopted in the AI lifecycle, where sustainability is the core pillar in covering extraction, manufacturing, energy use, and end-of-life disposal.
Through multilateralism, Kenyaโs draft resolution also calls for capacity building to ensure access to AI is responsible and sustainable for all countries.
โThe resolution also recognizes that developing countries require capacity, data infrastructure, and financial support to participate equitably in the AI era. It therefore calls for coordinated action across the AI Stack โ data, compute, talent, and use-cases โ anchored in environmental integrity,โ Kenyaโs Tech Envoy presented.
Countries such as Kenya have borne the brunt of climate change, where calamities such as floods and drought have affected their populations.
The UNEA-7 resolution, therefore, advocates for the integration of AI in climate adaptation and disaster-risk reduction efforts.
Kenya proposes that the United Nations Environment Programme (UNEP) prepare a Global Stocktake Report before UNEA-8 in 2026, and compile national data and stakeholder inputs on AIโs environmental impacts. This, Kenya argues, will provide an evidence base for future normative and policy work.
The host country of UNEP also addresses the inclusion of environmental sustainability into AI safety and ethical frameworks. This is through the development of voluntary guidelines on sustainable AI governance.
UNEA-7 will bring countries together to address the decline of the natural world and to forge a more sustainable future.
This yearโs summit will be held in Nairobi from December 8 to December 12 and will feature conversations, including addressing the environmental impact of artificial intelligence.
Some of the concerns on the environmental sustainability of AI include the fast-growing data centres that produce electronic waste, often consisting of hazardous substances, like mercury and lead. The data centres are also large consumers of water, which is becoming scarce in many places.
Data centres also rely on critical minerals and rare elements, which are often mined unsustainably.
Advances in AI also lead to massive consumption of electricity. The United Nations has largely proposed the use of renewable energy in the AI lifecycle to reduce the carbon emissions from the technology sector, which has reported a steady increase.
The International Energy Agency (IEA) in 2024 found that data centres, which provide computing power and data storage for AI, consumed 1.5% of electricity.
โGovernments must aim to meet all new electricity demand with renewables. AI can boost efficiency, innovation, and resilience in energy systems. But it is also energy-hungry. A typical AI data centres eat up as much electricity as 100,000 homes,โ remarked UN Secretary-General Antรณnio Guterres during the release of the UN Energy Transition report 2025.


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