When algorithms make decisions that harm — but no one intended harm — who’s accountable?

In this episode, Shirin Rai Gupta, Director - Marketing, upGrad Enterprise, sits down with Dr. Nandini Seth, Phd. IIM Bangalore, Founding Faculty - Masters’ Union, to unpack the legal and moral ambiguity of AI systems. They explore how statistically-driven models can produce socially unjust outcomes, why intent no longer guarantees innocence, and what real accountability might look like in the GenAI era. From biased hiring tools to opaque public systems, this conversation is a wake-up call for anyone building, deploying, or regulating AI.