“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation-Reference-Cited by-同舟云学术

“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Ovalle Anaelia¹^ORCID,Goyal Palash²^ORCID,Dhamala Jwala²^ORCID,Jaggers Zachary³^ORCID,Chang Kai-Wei⁴^ORCID,Galstyan Aram²^ORCID,Zemel Richard²^ORCID,Gupta Rahul²^ORCID

Affiliation:

1. Computer Science, University of California, Los Angeles, USA

2. Alexa AI-NU, Amazon, USA

3. Amazon Global Diversity, Equity, & Inclusion, Amazon, USA

4. Alexa AI-NU, Amazon, USA and Department of Computer Science, University of California, Los Angeles, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594078

Reference70 articles.

1. Social Security Administration. 2022. Popular Baby Names — ssa.gov. https://www.ssa.gov/oact/babynames/index.html. [Accessed 05-Feb-2023]. Social Security Administration. 2022. Popular Baby Names — ssa.gov. https://www.ssa.gov/oact/babynames/index.html. [Accessed 05-Feb-2023].

2. AllenNLP. (n.d.). AllenNLP Demo — demo.allennlp.org. https://demo.allennlp.org/coreference-resolution/. [Accessed 26-Jan-2023]. AllenNLP. (n.d.). AllenNLP Demo — demo.allennlp.org. https://demo.allennlp.org/coreference-resolution/. [Accessed 26-Jan-2023].

3. Misgendering in English language contexts: Applying non-cisgenderist methods to feminist research;Gavriel Ansara Y;International Journal of Multiple Research Approaches,2013

4. Soumya Barikeri , Anne Lauscher , Ivan Vulić , and Goran Glavaš . 2021. RedditBias: A real-world resource for bias evaluation and debiasing of conversational language models. arXiv preprint arXiv:2106.03521 ( 2021 ). Soumya Barikeri, Anne Lauscher, Ivan Vulić, and Goran Glavaš. 2021. RedditBias: A real-world resource for bias evaluation and debiasing of conversational language models. arXiv preprint arXiv:2106.03521 (2021).

5. Solon BAROCAS , Moritz HARDT, and Arvind NARAYANAN. 2022. Fairness and machine learning: limitations and opportunities.[S. l.]: fairmlbook. org , 2019 . Solon BAROCAS, Moritz HARDT, and Arvind NARAYANAN. 2022. Fairness and machine learning: limitations and opportunities.[S. l.]: fairmlbook. org, 2019.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

2. Mapping the individual, social and biospheric impacts of Foundation Models;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

3. Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

4. Trans-centered moderation: Trans technology creators and centering transness in platform and community governance: Trans-centered moderation;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

5. Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board Case;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03