Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning

Karnik, Niranjan S; Afshar, Majid; Churpek, Matthew M; Nunez-Smith, Marcella

doi:10.25417/uic.21255024.v1

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Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning

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posted on 2023-04-08, 17:27 authored by Niranjan S Karnik, Majid Afshar, Matthew M Churpek, Marcella Nunez-Smith

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Funding

Great Lakes Node of the Drug Abuse Clinical Trials Network | Funder: National Institutes of Health (National Institute on Drug Abuse) | Grant ID: UG1DA049467

Employing eSBI in a Community-based HIV Testing Environment for At-risk Youth | Funder: National Institute on Drug Abuse | Grant ID: R01DA041071

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Citation

Karnik, N. S., Afshar, M., Churpek, M. M.Nunez-Smith, M. (2020). Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning. The American Journal of Bioethics, 20(11), 35-37. https://doi.org/10.1080/15265161.2020.1820102

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Informa UK Limited

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en

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1526-5161

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Mental health Data Science Forecasting Humans Machine Learning Morals Applied Ethics Public Health and Health Services

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Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning

Funding

Great Lakes Node of the Drug Abuse Clinical Trials Network | Funder: National Institutes of Health (National Institute on Drug Abuse) | Grant ID: UG1DA049467

Employing eSBI in a Community-based HIV Testing Environment for At-risk Youth | Funder: National Institute on Drug Abuse | Grant ID: R01DA041071

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