India's AI Summit Controversy Reveals Gaps in Global Tech Governance and Ethical Frameworks

Indigenous knowledge systems emphasize relational ethics between humans and tools, offering alternative frameworks to Western anthropocentric AI development models that often disregard ecological and social interdependencies.

Colonial-era technology transfers historically imposed foreign innovation models on non-Western societies. This pattern repeats in modern AI governance through unequal standard-setting processes.

Middle Eastern AI initiatives prioritize privacy and communal decision-making, contrasting with Western individualism. These differences require diplomatic efforts to harmonize without homogenizing approaches.

Peer-reviewed studies show robot dogs can improve elderly care and education accessibility, but require context-specific safety protocols. The controversy highlights urgent need for interdisciplinary AI impact assessments.

Indian sci-fi literature has long explored human-machine relationships through cultural lenses, providing narrative frameworks to reimagine AI's societal role beyond Western dystopian tropes.

Without inclusive governance, AI development risks deepening global inequality through uneven access to benefits and disproportionate exposure to risks across different cultural contexts.

Women-led tech collectives and disabled communities often face exclusion from AI policy debates despite being both vulnerable to harms and key innovators in accessible technology solutions.