AI's Promise and Pitfalls: Emerging Issues Around Bias, Privacy, and Transparency
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AI is being used in hiring processes, evaluating candidates through video interviews and written questions. This raises concerns about discrimination and lack of transparency.
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Labor leaders worry AI tools for monitoring productivity could undermine workers' judgment and autonomy. Possible solutions include regulations, training programs.
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Schools are utilizing AI tutors and creative tools, but there are open questions around privacy and equity. Guidance is needed on appropriate classroom uses.
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In housing, AI tools promise more data but risk perpetuating historical biases. Settlements and new rules show increased scrutiny around discrimination.
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Healthcare AI is aiding diagnosis and billing but lacks transparency. Lawsuits accuse insurers' algorithms of improper denials. Guidance aims for accountability.