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Content provided by upGrad Education Private Limited and UpGrad Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by upGrad Education Private Limited and UpGrad Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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Black Box, Grey Area: Who’s Liable When Algorithms Decide?

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Manage episode 491197819 series 3580778
Content provided by upGrad Education Private Limited and UpGrad Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by upGrad Education Private Limited and UpGrad Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

19 episodes

Artwork
iconShare
 
Manage episode 491197819 series 3580778
Content provided by upGrad Education Private Limited and UpGrad Enterprise. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by upGrad Education Private Limited and UpGrad Enterprise or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

19 episodes

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