-
Trauma Dumping to AI: Evidence-Based Risks, Real Benefits, and Dharmic Design Principles

More people now confide in AI systems during moments of distress, a shift that brings both promise and risk. This analysis defines trauma dumping to AI, explains how large language models simulate empathy, and outlines what current evidence actually supports. It details privacy safeguards, safety triage, and cultural-linguistic competence, with particular attention to South Asian…
-
Unmasking AI Bias in India: Reimagining ChatGPT for Caste‑Aware, Dharmic Inclusion

A public debate led by Dr. Vijender Chauhan spotlights a crucial question: do AI systems like ChatGPT mirror caste-linked biases found in historical data, media, and scholarship? This analysis explains how representational and allocative biases can emerge from skewed datasets and why this matters for everyday users seeking education, credit, or social services. Anchored in…