Topic: Conservation, environmental pollution and degradation, environmental impact assessment
Q6. How can artificial intelligence serve as a catalyst for climate mitigation across diverse sectors? Analyse the ecological footprint of AI itself and propose strategies to ensure its deployment results in a net-positive climate impact. (15 M)
Difficulty Level: Medium
Reference: IE
Why the question:
While concerns about AI’s energy footprint are valid, its powerful potential for deep decarbonisation and systemic change is undeniable.Key demand of the question:
The question demands an examination of AI’s applications in mitigating climate change across sectors, a critical assessment of its environmental costs, and policy-level or technological solutions to ensure sustainable outcomes.Structure of the Answer:
Introduction:
Briefly establish the paradox of AI’s energy intensity versus its role in achieving climate goals.Body:
- Explain how AI contributes to climate mitigation in sectors like energy, industry, agriculture, and transport.
- Analyse the energy consumption, emissions, and material costs involved in AI training, hardware, and data infrastructure.
- Suggest reforms and innovations—like green data centres, disclosures, and climate-focused R&D—to ensure AI’s climate-positive contribution.
Conclusion:
End with a forward-looking statement on balancing innovation and sustainability through conscious deployment and governance of AI.
