Taming AI’s Can/Should Problem

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Bias in artificial intelligence seems to be an unending and endemic problem. Arguments abound about whether problems arise because the data going into AI analysis is biased, because the designers building systems are biased, or because the designers simply never tested their products to detect problematic outcomes. What can be done to address these seemingly perpetual issues? Are there specific applications whose use of AI should be limited? And if a fundamental breakthrough in AI leads to an unintended and undesired outcome, should AI-based products be suspended?

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