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Trustworthy AI

Name: Trustworthy AI
Creator: Jeannette M. Wing
Keywords: I.2, FOS: Computer and information sciences, D.3.1, Computer Science - Artificial Intelligence, C.4, G.3, 02 engineering and technology, D.4.6, C.4; D.3.1; D.4.6; F.3.1; G.3; I.2, 01 natural sciences

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 22 Sep 2021Embargo end date: 01 Jan 2020Publisher:Association for Computing Machinery (ACM)Journal:Communications of the ACM, volume 64, pages 64-71 (issn: 0001-0782, eissn: 1557-7317,

Authors: Jeannette M. Wing;

doi: 10.1145/3448248 , 10.48550/arxiv.2002.06276

arXiv: http://arxiv.org/abs/2002.06276

Trustworthy AI

- Summary
- Subjects
- Metrics

Abstract

The pursuit of responsible AI raises the ante on both the trustworthy computing and formal methods communities.

Related Organizations

King’s University
United States
University of Chicago
United States

Keywords

I.2, FOS: Computer and information sciences, D.3.1, Computer Science - Artificial Intelligence, C.4, G.3, D.4.6, C.4; D.3.1; D.4.6; F.3.1; G.3; I.2, Artificial Intelligence (cs.AI), F.3.1

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	125
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%

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125

Top 1%

Top 10%

Top 1%

Green

bronze

Fields of Science (4) View all

Fields of Science