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Bill Dembski: Pursuing Truth and Trust in AI and LLMs

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Manage episode 497446519 series 3628
Content provided by Discovery Institute's Center for Science and Culture and Discovery Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Discovery Institute's Center for Science and Culture and Discovery Institute 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.
How does AI stack up when it comes to accurately representing the theory of intelligent design? Today, host Andrew McDiarmid speaks with mathematician and philosopher Dr. William Dembski about the reliability and accuracy of large language models (LLMs) like ChatGPT and Bard, particularly concerning intelligent design. This second half of the conversation highlights the importance of independent verification when using AI, as LLMs can “hallucinate” or generate false or biased information. Dembski advises an approach of verify, then trust, turning the old Russian proverb on its head. McDiarmid and Dembski also explore the potential for AI to enhance human capabilities and education if used judiciously, rather than becoming a crutch that erodes critical thinking. But that will require that we Read More ›

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1088 episodes

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Manage episode 497446519 series 3628
Content provided by Discovery Institute's Center for Science and Culture and Discovery Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Discovery Institute's Center for Science and Culture and Discovery Institute 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.
How does AI stack up when it comes to accurately representing the theory of intelligent design? Today, host Andrew McDiarmid speaks with mathematician and philosopher Dr. William Dembski about the reliability and accuracy of large language models (LLMs) like ChatGPT and Bard, particularly concerning intelligent design. This second half of the conversation highlights the importance of independent verification when using AI, as LLMs can “hallucinate” or generate false or biased information. Dembski advises an approach of verify, then trust, turning the old Russian proverb on its head. McDiarmid and Dembski also explore the potential for AI to enhance human capabilities and education if used judiciously, rather than becoming a crutch that erodes critical thinking. But that will require that we Read More ›

Source

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1088 episodes

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