Explainability, Reasoning, Priors and GPT-3
Machine Learning Street Talk (MLST)
00:00
Human Biases vs. Machine Learning
This chapter explores the similarities and differences between human reasoning and machine learning, focusing on biases such as confabulation and confirmation bias. It highlights how emotional understanding and logical frameworks can influence the quality of explanations, emphasizing the contrast between human and machine learning approaches to data interpretation.
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