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[Databite 158] Adaptation | Generative AI's Labor Impacts

Data & Society

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Addressing Bias and Ethical Challenges in AI Systems

The chapter delves into concerns about bias in machine learning systems, using examples like the compass system to illustrate disparate impact and biased decision-making. It emphasizes the ethical dilemmas with data acquisition prioritized over fairness and suggests using AI to detect biases rather than solely making decisions.

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