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- W3120683744 abstract "Many Artificial Intelligence (e.g., Machine Learning) tools are being developed with ethical debt. They are created and deployed without fully examining and addressing the potential ethical consequences. This paper looks more closely at the concept of ethical debt in Artificial Intelligence and its consequences. The analysis focuses on two prevalent use cases: Artificial Intelligence as a vehicle for screening job applicants and Artificial Intelligence as a predictor for those patients who will require extra healthcare services. The analysis also compares and contrasts the similarities and differences surrounding the concepts of ethical debt versus technical debt. The paper concludes with a discussion on the misalignment between those who decide to incur ethical debt and those who end up paying for that decision." @default.
- W3120683744 created "2021-01-18" @default.
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- W3120683744 date "2021-01-03" @default.
- W3120683744 modified "2023-10-14" @default.
- W3120683744 title "Who pays for ethical debt in AI?" @default.
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- W3120683744 doi "https://doi.org/10.1007/s43681-020-00030-3" @default.
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