The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models-Reference-Cited by-同舟云学术

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The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models

Published:2024-06-03 Issue: Volume:84 Page:1229-1244
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Birhane Abeba¹^ORCID,Dehdashtian Sepehr²^ORCID,Prabhu Vinay³^ORCID,Boddeti Vishnu⁴^ORCID

Affiliation:

1. School of Computer Science and Statistics, Mozilla Foundation and Trinity College Dublin, Ireland

2. Department of Computer Science and Engineering, Michigan State University, USA

3. HAL51 Inc, USA

4. Computer Science and Engineering, Michigan State University, USA

Funder

Science Foundation Ireland via the ADAPT Centre of Digital Content Technology funded under the European Regional Development Fund (ERDF)

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3658968

Reference99 articles.

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

2. Persistent Anti-Muslim Bias in Large Language Models

3. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

4. Patronus AI. 2024. Introducing CopyrightCatcher the first Copyright Detection API for LLMs. https://www.patronus.ai/blog/introducing-copyright-catcher

5. Michelle Alexander. 2020. The new Jim Crow: Mass incarceration in the age of colorblindness. The New Press.

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