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Sendhil Mullainathan: AI and Algorithmic Bias

Before AGI

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Causality: Predictive Models vs. RCTs

This chapter explores the critical distinctions between predictive models and randomized controlled trials in evaluating causality and making informed predictions. It underscores the significance of adequate data and the potential pitfalls of biases in algorithmic analysis, advocating for a nuanced understanding of experimental design in various fields.

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