It is Not "Accuracy vs. Explainability"-We Need Both for Trustworthy AI Systems

We are witnessing the emergence of an "AI economy and society" where AI technologies and applications are increasingly impacting health care, business, transportation, defense and many aspects of everyday life. Many successes have been reported where AI systems even surpassed the accuracy...

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Veröffentlicht in:	IEEE transactions on technology and society Jg. 4; H. 1; S. 46 - 53
1. Verfasser:	Petkovic, Dragutin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Approximation algorithms Artificial intelligence Autonomous cars Bias Classification algorithms Decisions Deep learning Ethics explainability Explainable AI Face recognition Law Machine learning Noise sensitivity Random forests Safety Trusted computing Trustworthiness trustworthy AI XAI
ISSN:	2637-6415, 2637-6415
Online-Zugang:	Volltext
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