Generative AI presents considerable environmental challenges, especially regarding its energy and water usage. How can the industry effectively tackle these issues by adopting sustainable practices and establishing standards for assessing and reporting its ecological impacts?
As of now, several standards and frameworks exist to guide the assessment and reporting of ecological impacts in various industries, including AI, such as ISO 14001 (Environmental Management System), ISO 50001 (Energy Management), ISO 14064 (Quantification & Reporting GHG Emissions & Removal), GHG Protocol and Global Reporting Initiative (GRI).
To truly address the environmental impacts of AI requires a multifaceted approach including the AI industry, researchers and legislators. In industry, sustainable practices should be imperative, and should include measuring and publicly reporting energy and water use; prioritizing the development of energy-efficient hardware, algorithms, and data centres; and using only renewable energy. Regular environmental audits by independent bodies would support transparency and adherence to standards.
unknownx500
/Passle/5e4a7839abdfeb03584d01f6/SearchServiceImages/2024-08-29-19-32-57-068-66d0cce9a0778f47a9525fa0.jpg)
/Passle/5e4a7839abdfeb03584d01f6/SearchServiceImages/2024-08-30-21-05-55-709-66d23433b4093df220611fea.jpg)
/Passle/5e4a7839abdfeb03584d01f6/SearchServiceImages/2024-08-30-20-51-17-825-66d230c54054121e870755b2.jpg)
