As India prepares to chair the AI Summit next month, calls are growing for AI ethics to shift from abstract ideas to practical, enforceable standards. These must be rooted in human rights principles like privacy, equality, non-discrimination, due process, and dignity.
AI ethics, often discussed in vague terms, needs precise definition as India gears up to lead the AI Summit next month, argues Sushant Kumar in his opinion piece. He emphasizes grounding it in enforceable human rights, drawing from frameworks like the UNESCO AI Ethics Principles and the UNDP Human Development Report 2025. This approach safeguards against corporate and state overreach, particularly in welfare, policing, and surveillance.
The ethics must reflect India's unique contexts, including caste dynamics, gendered labor, linguistic diversity, rural-urban divides, and digital vulnerabilities. Intersectional audits are proposed to assess compounded harms faced by groups like Dalit women, migrant workers, Adivasi youth, persons with disabilities, and linguistic minorities, addressing how biases intersect rather than in isolation.
Transparency requires AI systems to include publicly accessible model cards—akin to nutrition labels—detailing training data, biases, limitations, and grievance contacts, countering hype in public deployments.
Core guarantees include consent, community control over data, fair value sharing, and safeguards against extractive practices. Community data trusts, similar to resource management bodies, could manage data for communal benefit, preventing India from becoming a 'data colony.'
Remedial measures are crucial: clear liability for harms, such as when facial recognition errors deny rations to the elderly or disabled, with primary responsibility on deploying authorities and secondary on vendors. Independent grievance systems and mandated human oversight for high-risk areas like policing and medicine add enforceability.
People should understand AI decisions affecting them and have recourse to challenge them. By championing these rights-based principles, India can fulfill its potential as a global leader in AI governance.
