Machine Learning Street Talk (MLST) cover image

Machine Learning Street Talk (MLST)

Prof. Murray Shanahan - Machines Don't Think Like Us

Jul 14, 2024
Murray Shanahan, a Professor of Cognitive Robotics at Imperial College London and a senior research scientist at DeepMind, dives deep into AI consciousness and the perils of anthropomorphizing machines. He discusses the limitations of current language in describing AI and stresses the need for nuanced vocabulary. Shanahan explores Reinforcement Learning and the 'Waluigi Effect,' as well as the complexities of agency in AI. He also touches on consciousness in relation to non-human entities, emphasizing how our perceptions shape understanding and the philosophical implications behind it.
02:15:22

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Avoid anthropomorphizing AI to prevent misconceptions about capabilities.
  • Language models can act as simulators or role players, revealing complex behaviors.

Deep dives

Importance of Understanding Consciousness in AI

With the rise of large language models, there is an increasing challenge in discussing consciousness in artificial intelligence. Despite initial reservations, the ascription of consciousness to these models becomes inevitable due to the way people interact with them. Whether seen as the right term, the conversation shifts towards understanding and defining consciousness in such exotic cases.

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