India Must Address the Environmental Costs of Developing Large-Scale Artificial Intelligence Models
While AI's benefits are widely discussed, its environmental impact, particularly carbon footprint and water consumption, requires urgent attention. Data centers housing AI servers consume massive amounts of electricity and water for cooling. A single ChatGPT query can consume ten times more energy than a Google search. India currently lacks specific legislation for AI's environmental impact, unlike the EU's AI Act. Experts suggest integrating AI assessments into Environmental Impact Assessments (EIA) and adopting sustainable practices like using renewable energy for data centers and deploying pre-trained models to mitigate adverse impacts.
Key Points
- The ICT industry is estimated to be responsible for 1.8% to 2.8% of global greenhouse gas emissions.
- Training a single Large Language Model (LLM) can generate approximately 3,00,000 kilograms of carbon emissions.
- India needs to establish measuring standards and disclosure requirements for AI's environmental footprint as part of ESG standards.
- Current discussions focus on how AI can help protect the environment without fully addressing the costs of developing the AI itself.
Exam Facts
- UNESCO's 'Recommendation on the Ethics of Artificial Intelligence' (2021)
- EU's Artificial Intelligence Act of 2024
- EIA Notification, 2006
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