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Artificial Intelligence and Decoding ChatGPT (Part One) | Dr. Eric Jenislawski

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Manage episode 480985100 series 3482343
Content provided by Christendom College. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Christendom College 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://ppacc.player.fm/legal.

In part one of this thought-provoking lecture, Christendom College theology professor Eric Jenislawski offers an explanation of ChatGPT and its natural language predecessors for a non-technical audience. He explores the nature, development, and implications of artificial intelligence, especially large language models like ChatGPT. With clarity and philosophical depth, Jenislawski guides listeners through key concepts—from how AI models are trained to what it means for machines to simulate human reasoning. Along the way, he considers the challenges of alignment, the moral concerns surrounding AI-generated content, and the phenomenon of “AI confabulation.”

  continue reading

156 episodes

Artwork
iconShare
 
Manage episode 480985100 series 3482343
Content provided by Christendom College. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Christendom College 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://ppacc.player.fm/legal.

In part one of this thought-provoking lecture, Christendom College theology professor Eric Jenislawski offers an explanation of ChatGPT and its natural language predecessors for a non-technical audience. He explores the nature, development, and implications of artificial intelligence, especially large language models like ChatGPT. With clarity and philosophical depth, Jenislawski guides listeners through key concepts—from how AI models are trained to what it means for machines to simulate human reasoning. Along the way, he considers the challenges of alignment, the moral concerns surrounding AI-generated content, and the phenomenon of “AI confabulation.”

  continue reading

156 episodes

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