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The transformative potential of AI in academia

Berkeley Talks

CHAPTER

The Tension Between Data Bias and Algorithm Training

This chapter explores the challenge of using biased historical data to train machine learning algorithms and the potential for embedded discrimination. It emphasizes the importance of data curation and finding unbiased data for training algorithms. The chapter also discusses the need for social science-oriented solutions to prevent the proliferation of biased algorithms.

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