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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
The Complexity of Learning: AI vs. Human Cognition
This chapter explores the misconceptions surrounding AI learning compared to human learning, emphasizing the need for interactive, multi-sensory experiences. It highlights the importance of foundational concepts and the integration of cognitive science to advance AI systems. The discussion reflects on the limitations and biases inherent in current AI models, arguing for a deeper understanding of the complexities of both human and artificial intelligence.
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