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Symposium explores systemic barriers to sustainable AI in India

Original framing: “IISER Kolkata hosts symposium on eco-friendly and inclusive AI” — bing news

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Scientific EvidenceSignal: 90%

Scientific evidence shows that AI systems require massive energy inputs, often sourced from non-renewable grids, undermining their eco-friendly claims. Research into low-power algorithms and decentralized computing is essential for genuine sustainability.

Cogniosynthesis — Systems-Level Conclusion

The symposium at IISER Kolkata reflects a growing awareness of the need for sustainable and inclusive AI in India, but it must be grounded in systemic reforms that address energy policy, data governance, and participatory design.

Indigenous knowledge systems, cross-cultural insights from Japan and Māori traditions, and historical lessons from colonial technological imposition offer critical frameworks for reimagining AI. By integrating these perspectives with scientific research and future modeling, India can develop AI systems that align with ecological and social justice principles. The voices of marginalized communities must be central to this process, ensuring that AI serves as a tool for empowerment rather than exclusion.

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