Legal, Ethical and Moral Implications of Machine Learning Tools

April, 2024
IDA document: 3001921
FFRDC: Systems and Analyses Center
Type: Documents , Research Summary/Research Insights , Talent Management
Division: Strategy, Forces and Resources Division
Authors:
Authors
Alan B. Gelder, Cullen A. Roberts, Ashlie M. Williams See more authors
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Machine learning algorithms can distill vast quantities of information into simpler, more actionable information. But how can decision makers trust that the distilled information is valid and suits their needs? This summary explores research into legal, ethical and moral risks associated with machine learning in the context of personnel management processes with applicability to the U.S. military.