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AI Inequality EXPOSED: When Algorithms Fail | CXOTalk #882

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The Human Cost of Algorithmic Decisions

This chapter examines the detrimental effects of algorithmic decision-making on vulnerable populations, particularly in the context of Medicaid care assessments in Arkansas. It reveals how seemingly neutral technology can exacerbate hardships for low-income individuals due to biases embedded in algorithms. The discussion highlights the disconnect between the developers' intentions and the realities faced by end-users, stressing the need for greater advocacy and accountability in the implementation of AI systems.

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