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As artificial intelligence systems take on more decision-making responsibility, questions about acco become increasingly pressing, since it is often unclear who should be held res when an algorithm causes harm: the developers, the users, or the technology itself. A similar sense of ur surrounds biomedical research, where scientists can now pr certain her diseases before symptoms ever appear. Such capabilities raise complex ethical questions about how this inf should be used and who should have ac to it. At the same time, automation threatens to displace workers in some industries even as it creates opportunities elsewhere, leaving policymakers to determine how society should manage this uneven tra without leaving entire communities behind. Companies collecting enormous amounts of personal data often provide limited in into how that data is stored or shared, deepening public distrust. Taken together, these developments suggest that the systems shaping modern life are often more fr than they initially appear, and far easier to disrupt than to repair.