Displaying 6 results for

How the data center boom driven by AI risks health outcomes in vulnerable communities through noise, pollution, and energy burdens.

JISC analysis of AI's environmental footprint in context—energy, water, carbon—arguing for proportionate concern and greener AI design.

Delphi study defining principles and priorities for responsible AI in public health based on expert consensus.

Poll finding many U.S. adults consider AI-generated health information useful and reasonably reliable for health questions.

Policy and community health considerations for mitigating public health impacts from AI data center siting and operations.

UNEP overview of AI's environmental footprint—energy, water, e-waste, emissions—with policy recommendations for greening data centers.