58767ed0dce1ce002cbd03018ee8eb8a  joubioinq_a2022v19p407.pdf
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530946c254a28d473b9307a3c25387d3986d3e2b31d4c7010b55d6b60632008b  joubioinq_a2022v19p407.pdf

Title:          Bias in algorithms of AI systems developed for COVID-19: A scoping review
Subject:        Bioethical Inquiry, doi:10.1007/s11673-022-10200-z
Keywords:       artificial intelligence; bias; digital contact tracing; COVID-19; patient risk prediction
Author:         Janet Delgado
Creator:        Arbortext Advanced Print Publisher 9.1.440/W Unicode
Producer:       Acrobat Distiller 9.0.0 (Windows)
CreationDate:   Sat Sep  3 17:29:02 2022 CEST
ModDate:        Mon Sep  5 04:45:23 2022 CEST
Tagged:         no
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JavaScript:     no
Pages:          13
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Page size:      547.087 x 737.008 pts
Page rot:       0
File size:      741326 bytes
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PDF version:    1.4


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      Title: Bias in algorithms of AI systems developed for COVID-19: A scoping review
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        Title: Results
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          Title: AI Systems Developed for Triage and PRP
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            Title: Bias
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            Title: Limitations
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            Title: Other ethical issues
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          Title: Racial Disparities
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          Title: Unequal Accessibility
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          Title: Workforce and Information and Communication Technologies Infrastructure
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    Title: Bias in algorithms of AI systems developed for COVID-19: A scoping review
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