articleNature Machine IntelligenceAug 17, 2022Closed access

Advances, challenges and opportunities in creating data for trustworthy AI

WLWeixin LiangGAGirmaw Abebe TadesseDEDaniel E. HoLFLi Fei-FeiMZMatei Zaharia

Stanford University · ETH Zurich

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Abstract

No abstract available for this paper.

Citation impact

506
total citations
FWCI
61.87
Percentile
100%
References
79
Citations per year

Authors

7

Topics & keywords

Topics
Keywords
  • Bespoke
  • Computer science
  • Software deployment
  • Pipeline (software)
  • Data science
  • Scalability
  • Data quality
  • Trustworthiness
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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