Indic approach to ethical AI in automated decision making system: implications for social, cultural, and linguistic diversity in native population

Indic approach to ethical AI in automated decision making system: implications for social, cultural, and linguistic diversity in native population

연구 분야: Artificial Intelligence

학회: AI & SOCIETY

This paper investigates the ethical assumptions embedded in automated decision-making (ADM) systems in India through a qualitative, document-based analytical framework. Central to the inquiry is the hypothesis that dominant Western ethical models—often premised on liberal, universalist values—fail to sufficiently accommodate the complex social, cultural, linguistic, and religious diversities of Indian society. Drawing on 20 real-world ADM use cases across high-stakes public sectors, the study examines ethical tensions arising from the application of automated logic in pluralistic social contexts. A normative framework grounded in Indic epistemic traditions—particularly the concepts of Dharma, Nyaya, and Karma—guide the analysis, offering culturally resonant alternatives to Western paradigms. Comparative analysis includes nine major global AI ethical frameworks and diversity variables across 11 countries,= mapping divergences and convergences in ethical AI governance. The study further evaluates AI and data protection laws from 21 jurisdictions to contextualize the global ethical landscape. Employing thematic analysis, the research identifies limitations in current global standards and argues for the urgent need to localize AI ethics.= The findings assert that designing trustworthy AI in India requires frameworks sensitive to its civilizational ethics, social heterogeneity, and cultural logics—thereby advancing an Indic approach to ethical AI governance.