The Values Encoded in Machine Learning Research-Reference-Cited by-同舟云学术

The Values Encoded in Machine Learning Research

Published:2022-06-20 Issue: Volume: Page:
ISSN:
Container-title:2022 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Birhane Abeba¹,Kalluri Pratyusha²,Card Dallas³,Agnew William⁴,Dotan Ravit⁵,Bao Michelle²

Affiliation:

1. Mozilla Foundation & University College Dublin, Ireland

2. Stanford University, USA

3. University of Michigan, USA

4. University of Washington, USA

5. University of Pittsburg, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3531146.3533083

Reference63 articles.

1. Fairness in representation: quantifying stereotyping as a representational harm

2. The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity

3. Grace Abuhamad and Claudel Rheault. 2020. Like a Researcher Stating Broader Impact For the Very First Time. arXiv preprint arXiv:2011.13032(2020). Grace Abuhamad and Claudel Rheault. 2020. Like a Researcher Stating Broader Impact For the Very First Time. arXiv preprint arXiv:2011.13032(2020).

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).

5. Emily M. Bender Timnit Gebru Angelina McMillan-Major and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?Proceedings of FAccT(2021). Emily M. Bender Timnit Gebru Angelina McMillan-Major and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?Proceedings of FAccT(2021).

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