Future of Knowledge, Systems, Skills, and Intelligence

Conference Video|Duration: 48:42
April 1, 2025
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  • Video details

    Future of Knowledge, Systems, Skills, and Intelligence

    Moderator:

    • Michael Schrage | Research Fellow, MIT Initiative on the Digital Economy, MIT Sloan School of Management

    Panelists:

    • Josh Tenenbaum | Professor, MIT Department of Brain and Cognitive Sciences
    • Caspar Hare | Professor, MIT Department of Linguistics and Philosophy
    • Agustin Rayo | Dean, MIT School of Humanities, Arts, and Social Sciences
    • Sam Madden | Computer Science Head, MIT Department of Electrical Engineering and Computer Science

    Knowledge is core to the human experience. Over millennia, questions about how humans acquire, learn, understand, dispute and share knowledge have animated scientists, philosophers, artists, engineer,s and politicians. Our increasingly digital society is built on crystalized, and often contested, knowledge – from history and law to software and social networks – crafted at a human scale by humans for humans. However, new forms of machine intelligence are emerging – ones that collect, represent, reason, and engineer with knowledge in very non-human ways and at very non-human scales, This panel will bring together experts from multiple disciplines to discuss the profound impact of this emerging partnership.

Locked Interactive transcript
Please login to view this video.
  • Video details

    Future of Knowledge, Systems, Skills, and Intelligence

    Moderator:

    • Michael Schrage | Research Fellow, MIT Initiative on the Digital Economy, MIT Sloan School of Management

    Panelists:

    • Josh Tenenbaum | Professor, MIT Department of Brain and Cognitive Sciences
    • Caspar Hare | Professor, MIT Department of Linguistics and Philosophy
    • Agustin Rayo | Dean, MIT School of Humanities, Arts, and Social Sciences
    • Sam Madden | Computer Science Head, MIT Department of Electrical Engineering and Computer Science

    Knowledge is core to the human experience. Over millennia, questions about how humans acquire, learn, understand, dispute and share knowledge have animated scientists, philosophers, artists, engineer,s and politicians. Our increasingly digital society is built on crystalized, and often contested, knowledge – from history and law to software and social networks – crafted at a human scale by humans for humans. However, new forms of machine intelligence are emerging – ones that collect, represent, reason, and engineer with knowledge in very non-human ways and at very non-human scales, This panel will bring together experts from multiple disciplines to discuss the profound impact of this emerging partnership.

Locked Interactive transcript