Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”-Reference-Cited by-同舟云学术

Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Lewicki Kornel¹^ORCID,Lee Michelle Seng Ah²^ORCID,Cobbe Jennifer²^ORCID,Singh Jatinder²^ORCID

Affiliation:

1. University of Cambridge, United Kingdom

2. Compliant & Accountable Systems Group, University of Cambridge, United Kingdom

Funder

Microsoft

Engineering and Physical Sciences Research Council

Aviva

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3581463

Reference163 articles.

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4. Nur Ahmed and Muntasir Wahed. 2020. The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research. arXiv preprint arXiv:2010.15581(2020). Nur Ahmed and Muntasir Wahed. 2020. The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research. arXiv preprint arXiv:2010.15581(2020).

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