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Abstract
This paper explores some ways in which artificial intelligence (AI) could be used to improve human moral judgments in bioethics by avoiding some of the most common sources of error in moral judgment, including ignorance, confusion, and bias. It surveys three existing proposals for building human morality into AI: Top-down, bottom-up, and hybrid approaches. Then it proposes a multi-step, hybrid method, using the example of kidney allocations for transplants as a test case. The paper concludes with brief remarks about how to handle several complications, respond to some objections, and extend this novel method to other important moral issues in bioethics and beyond.
Keywords Artificial Intelligence  Machine Learning  Bioethics  Moral Judgment
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