The Right Question and the Legal Question

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Many people think in philosophy, that consciousness having conscious experiences is something that's intrinsically valuable. But you can also have a view that doesn't even appeal to consciousness and think there is a certain notion of personhood or agency that can be valid even for non-conscious systems. So these two things connect to the moral question and to the legal question. Do I foresee that we should ascribe rights to deep learning systems in the near-term future? I don't think so because doing so would have imaged potentially very nefarious implications for humans themselves.

Welcome to another episode of Sean Carroll's Mindscape. Today, we're joined by Raphaël Millière, a philosopher and cognitive scientist at Columbia University. We'll be exploring the fascinating topic of how artificial intelligence thinks and processes information. As AI becomes increasingly prevalent in our daily lives, it's important to understand the mechanisms behind its decision-making processes. What are the algorithms and models that underpin AI, and how do they differ from human thought processes? How do machines learn from data, and what are the limitations of this learning? These are just some of the questions we'll be exploring in this episode. Raphaël will be sharing insights from his work in cognitive science, and discussing the latest developments in this rapidly evolving field. So join us as we dive into the mind of artificial intelligence and explore how it thinks.

[The above introduction was artificially generated by ChatGPT.]

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Raphaël Millière received a DPhil in philosophy from the University of Oxford. He is currently a Presidential Scholar in Society and Neuroscience at the Center for Science and Society, and a Lecturer in the Philosophy Department at Columbia University. He also writes and organizes events aimed at a broader audience, including a recent workshop on The Challenge of Compositionality for Artificial Intelligence.

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