AI and Global Biodiversity Governance: Opportunities and Inequities
Artificial intelligence is increasingly used to monitor biodiversity, analyze data, and inform negotiations at the UN Biodiversity Conference (COP17). While AI can provide unprecedented insights and potentially ease reporting burdens, it also risks reinforcing existing data biases and inequities in capacity and influence among countries. Researchers at ETH Zurich are studying how AI shapes global biodiversity policy and the balance of power in multilateral decision‑making.
Artificial intelligence is increasingly used to monitor biodiversity, analyze data, and inform negotiations at the UN Biodiversity Conference (COP17). While AI can provide unprecedented insights and potentially ease reporting burdens, it also risks reinforcing existing data biases and inequities in capacity and influence among countries. Researchers at ETH Zurich are studying how AI shapes global biodiversity policy and the balance of power in multilateral decision‑making.
The study highlights how Swiss AI research at ETH Zurich is shaping international biodiversity governance and informs Swiss policy on AI sovereignty and equitable technology deployment.
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