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Mind & Life Europe Podcast

"An Enactive AI? Computing and Sense-Making Beyond the Data-Driven Approach"

Feb 13, 2025
Luc Steels is a Professor Emeritus of Artificial Intelligence with a focus on enactive approaches, while Takashi Ikegami is a Professor at the University of Tokyo specializing in complex systems. They explore the intricacies of AI versus human cognition. Questions arise about participatory sense-making and the potential for enactive AI. The discussion critiques data-driven models, emphasizing the ethical dangers of AI and the human misuse of technology. They also highlight creativity's connection to humanity and reflect on experimental robotics that encourage interaction and understanding.
01:45:47

Podcast summary created with Snipd AI

Quick takeaways

  • The conversation emphasizes that the self is a dynamic process rather than a static concept, impacting our understanding of identity in AI systems.
  • The speakers caution against uncritical AI adoption, highlighting how human biases influence algorithms and the need for ethical technology use.

Deep dives

Exploring the Concept of Self

The discussion revolves around the philosophical inquiry into the nature of self, arguing that self is not a static entity but an ongoing process. The speakers emphasize the importance of keeping questions about self open and not rushing to find definitive answers, suggesting that this approach leads to greater inner peace. The notion of oneness among humans adds to this understanding, highlighting how interconnectedness shapes our identity. The episode positions the concept of self as a dynamic inquiry relevant to both artificial intelligence and human cognition.

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