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17min chapter
#352 - Our Bayesian Priors: A Dialogue with Tom Chivers
Converging Dialogues
Navigating AI and Bayesian Predictions
This chapter investigates the implications of AI through the lens of Bayesian principles, focusing on how predictive processing shapes both machine learning and human cognition. The speakers elaborate on the complexities of constructing predictions and understanding reality, highlighting the role of prior knowledge and sensory input in shaping beliefs. They also address the ethical dimensions of AI's predictive capabilities and its impact on society, particularly in relation to contemporary issues like cancel culture.
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