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Mind Matters

Mind Matters

Auteur(s): Discovery Institute Center on Natural and Artificial Intelligence
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 On the Mind Matters podcast, Discovery Institute’s Walter Bradley Center for Natural and Artificial Intelligence considers the implications and misconceptions, the opportunities and limitations, and the applications and challenges presented by intelligent agents and their algorithms. Episode notes and archives available at mindmatters.ai/podcast.© Discovery Institute Philosophie Sciences sociales
Épisodes
  • Restoring Love and Community in a Divided World: A Conversation with Dr. Stephen Post

    Restoring Love and Community in a Divided World: A Conversation with Dr. Stephen Post
    Oct 16 2025
    Most of us would agree that in recent years, our society has grown more acrimonious, reactive, and violent. What role does technology play in this trajectory? And what can be done about it? On this episode, host Dr. Michael Egnor speaks to Dr. Stephen Post, author of the new book Pure Unlimited Love: Science and the Seven Paths to Inner Peace. Read More ›

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  • Love, Lies, and Algorithms: The Dangers of Relational AI

    Love, Lies, and Algorithms: The Dangers of Relational AI
    Oct 9 2025
    Today, we hear from Discovery Institute Senior Fellow, podcaster, and writer Andrew McDiarmid as he chats with In The Market radio host Janet Parshall about the dangers associated with humans having relationships with AI. The discussion focuses on what McDiarmid calls “relational AI” – AI chatbots and assistants that aim to mimic human interactions and relationships. McDiarmid discusses how relational AI can Read More ›

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  • The Challenge of Definitively Proving Creativity in AI

    The Challenge of Definitively Proving Creativity in AI
    Oct 2 2025
    On this episode, host Robert J. Marks concludes his conversation with Dr. Georgios Mappouras about his new and interesting paper “Turing Test 2.0: The General Intelligence Threshold.” Here, Mappouras contrasts his newly proposed Turing test with the Lovelace Test, proposed by Selmer Bringsjord of Rensselaer Polytechnic, which says that “Computers will be creative if and when their output is beyond Read More ›

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