Training Artificial Intelligence on a Gender-Biased Virtual World can Result in Biased Conclusions-Reference-Cited by-同舟云学术

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Training Artificial Intelligence on a Gender-Biased Virtual World can Result in Biased Conclusions

Published:2023-05-04 Issue:8 Volume:30 Page:5282-5283
ISSN:1068-9265
Container-title:Annals of Surgical Oncology
language:en
Short-container-title:Ann Surg Oncol

Author:

Carlisle Benjamin G.^ORCID,Coffman Donna L.,Egleston Brian L.,Salholz-Hillel Maia^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

https://link.springer.com/content/pdf/10.1245/s10434-023-13557-6.pdf

Reference3 articles.

1. Bukavina L, Sindhani M, Joshi SS, et al. What’s in a name? An analysis of gender-based acronyms in clinical trials. Ann Surg Oncol. 2023;30(5):2594–2596. https://doi.org/10.1245/s10434-023-13253-5.

2. Caliskan A, Ajay PP, Charlesworth T, Wolfe R, Banaji MR. Gender bias in word embeddings: a comprehensive analysis of frequency, syntax, and semantics. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES '22). Association for Computing Machinery, New York, NY; 2022. pp. 156–170. https://doi.org/10.1145/3514094.3534162.

3. Edwards B. Victor/Victoria. London: Peerford Limited, Arista Management A. G., Blake Edwards Entertainment; 1982.

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1. Unveiling Gender Dynamics in Digital Capitalism;Advances in Finance, Accounting, and Economics;2024-02-23

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