Algorithms That Can Deny Care, and a Call for AI Explainability

Recent examples of negative use of big data and machine learning come from their use in health care decisions involving a large number of patients. These cases highlight the need for algorithm explainability to help us better understand how artificial intelligence works in solving problems so we can...

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Veröffentlicht in:Computer (Long Beach, Calif.) Jg. 57; H. 7; S. 109 - 112
1. Verfasser: Talia, Domenico
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Artificial intelligence
Big Data
Explainable AI
Machine learning
Medical diagnosis
Medical services
ISSN:0018-9162, 1558-0814
Online-Zugang:Volltext
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Zusammenfassung:Recent examples of negative use of big data and machine learning come from their use in health care decisions involving a large number of patients. These cases highlight the need for algorithm explainability to help us better understand how artificial intelligence works in solving problems so we can then evaluate its accuracy and effectiveness.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2024.3387012