| Language (Technology) is Power: A Critical Survey of" Bias" in NLP SL Blodgett, S Barocas, H Daumé III, H Wallach Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 772 | 2020 |
| Demographic dialectal variation in social media: A case study of African-American English SL Blodgett, L Green, B O'Connor Proceedings of the Conference on Empirical Methods in Natural Language …, 2016 | 337 | 2016 |
| Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English SL Blodgett, B O'Connor arXiv preprint arXiv:1707.00061, 2017 | 147 | 2017 |
| Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets SL Blodgett, G Lopez, A Olteanu, R Sim, H Wallach Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 131 | 2021 |
| A Survey of Race, Racism, and Anti-Racism in NLP A Field, SL Blodgett, Z Waseem, Y Tsvetkov Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 65 | 2021 |
| Twitter Universal Dependency Parsing for African-American and Mainstream American English SL Blodgett, J Wei, B O’Connor Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 55 | 2018 |
| A Dataset and Classifier for Recognizing Social Media English SL Blodgett, J Wei, B O'Connor Proceedings of the 3rd Workshop on Noisy User-generated Text, 56-61, 2017 | 22 | 2017 |
| The meaning and measurement of bias: lessons from natural language processing AZ Jacobs, SL Blodgett, S Barocas, H Daumé III, H Wallach Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 20 | 2020 |
| Sociolinguistically Driven Approaches for Just Natural Language Processing SL Blodgett | 19 | 2021 |
| Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications K Zhou, SL Blodgett, A Trischler, H Daumé III, K Suleman, A Olteanu Proceedings of the North American Chapter of the Association for …, 2022 | 14 | 2022 |
| Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses KA Keith, SL Blodgett, B O'Connor Proceedings of the North American Chapter of the Association for …, 2018 | 13 | 2018 |
| Responsible Language Technologies: Foreseeing and Mitigating Harms SL Blodgett, QV Liao, A Olteanu, R Mihalcea, M Muller, MK Scheuerman, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-3, 2022 | 12 | 2022 |
| Risks of AI Foundation Models in Education SL Blodgett, M Madaio arXiv preprint arXiv:2110.10024, 2021 | 11 | 2021 |
| Visualizing textual models with in-text and word-as-pixel highlighting A Handler, SL Blodgett, B O'Connor Proceedings of the ICML Workshop on Human Interpretability in Machine Learning, 2016 | 6 | 2016 |
| Evaluating the Social Impact of Generative AI Systems in Systems and Society I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, ... arXiv preprint arXiv:2306.05949, 2023 | 5 | 2023 |
| How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP C Hardmeier, MR Costa-jussà, K Webster, W Radford, SL Blodgett arXiv preprint arXiv:2104.03026, 2021 | 5 | 2021 |
| This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models S Goldfarb-Tarrant, E Ungless, E Balkir, SL Blodgett Findings of ACL, 2023 | 3 | 2023 |
| Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews D Liu, P Nanayakkara, SA Sakha, G Abuhamad, SL Blodgett, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 424-435, 2022 | 3 | 2022 |
| Confronting Structural Inequities in AI for Education M Madaio, SL Blodgett, E Mayfield, E Dixon-Román arXiv preprint arXiv:2105.08847, 2021 | 3 | 2021 |
| Taxonomizing and Measuring Representational Harms: A Look at Image Tagging J Katzman, A Wang, M Scheuerman, SL Blodgett, K Laird, H Wallach, ... arXiv preprint arXiv:2305.01776, 2023 | 2 | 2023 |
Brendan O'ConnorUniversity of Massachusetts AmherstVerified email at cs.umass.edu
