Artificial Intelligence for the Benefit of Everyone

The IEEE Standards Association initiated a program to develop criteria to evaluate artificial intelligence (AI) systems’ emerging ethical properties. The accelerating advancement in AI technologies necessitated a review to stay in step with global changes that are relevant to this global initiative.

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Publication Details

Journal
Computer
Published
2024-09-01
DOI
https://doi.org/10.1109/mc.2024.3411797
Citations
1
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.35
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article

Artificial Intelligence for the Benefit of Everyone

Alexander Kriebitz, Eleanor Watson, Ali G. Hessami, Gerlinde Weger et al.
1 citations
Computer
Adversarial Robustness in Machine Learning
0.35
article

Artificial Intelligence for the Benefit of Everyone

Alexander Kriebitz, Eleanor Watson, Ali G. Hessami, Gerlinde Weger, Patricia Shaw
article en
1 citations

Abstract

The IEEE Standards Association initiated a program to develop criteria to evaluate artificial intelligence (AI) systems’ emerging ethical properties. The accelerating advancement in AI technologies necessitated a review to stay in step with global changes that are relevant to this global initiative.

ComputerVol. 57(9)
University of Gloucestershire (GB), Voronezh Research Institute Vega (RU), Technical University of Munich (DE), KPMG (United Kingdom) (GB)
Openalex Percentile: Top 34%
Adversarial Robustness in Machine Learning
0.35
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