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Su Lin Blodgett
Su Lin Blodgett
Microsoft Research Montréal
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
11912020
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
4312016
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
2542021
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
1912017
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
1212021
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
802018
Evaluating the social impact of generative ai systems in systems and society
I Solaiman, Z Talat, W Agnew, L Ahmad, D Baker, SL Blodgett, C Chen, ...
arXiv preprint arXiv:2306.05949, 2023
772023
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
362020
Beyond “fairness”: Structural (in) justice lenses on ai for education
M Madaio, SL Blodgett, E Mayfield, E Dixon-Román
The ethics of artificial intelligence in education, 203-239, 2022
352022
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
322017
Taxonomizing and measuring representational harms: A look at image tagging
J Katzman, A Wang, M Scheuerman, SL Blodgett, K Laird, H Wallach, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14277 …, 2023
312023
Sociolinguistically Driven Approaches for Just Natural Language Processing
SL Blodgett
312021
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
262022
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
252022
Risks of AI Foundation Models in Education
SL Blodgett, M Madaio
arXiv preprint arXiv:2110.10024, 2021
252021
This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models
S Goldfarb-Tarrant, E Ungless, E Balkir, SL Blodgett
Findings of ACL, 2023
212023
FairPrism: Evaluating Fairness-Related Harms in Text Generation
E Fleisig, A Amstutz, C Atalla, SL Blodgett, H Daumé III, A Olteanu, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
192023
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
132018
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
102021
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
92022
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Articles 1–20