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Sendhil Mullainathan: AI and Algorithmic Bias

Before AGI

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Tackling Algorithmic Bias

This chapter explores the complexities and implications of algorithmic bias, particularly in the realm of artificial intelligence and healthcare. It highlights the disparities arising from biased algorithms and emphasizes the need for better development practices to address these issues. By comparing algorithmic bias with human bias, the discussion sheds light on the challenges of defining fairness and the potential for progress amid systemic problems.

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