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

Mind & Life Europe Podcast

CHAPTER

Beyond Data: Understanding AI's Limitations

This chapter critiques the current emphasis on data-driven approaches in AI, asserting the need for deeper comprehension of meaning and processes behind the data. It discusses the ethical implications and biases in large language models, highlighting how cultural disparities can influence AI behavior and decision-making. Through reflections on the societal impact of these models, the chapter advocates for careful consideration of AI's role in fostering genuine understanding rather than mere mimicry of human cognition.

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