Su Lin Blodgett

According to our database, Su Lin Blodgett authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways.

Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett

CoRR, 2024

2023

"One-size-fits-all"? Observations and Expectations of NLG Systems Across Identity-Related Language Features.

Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu

CoRR, 2023

Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan K. Baker, Su Lin Blodgett, Hal Daumé III, Jesse Dodge, Ellie Evans, Sara Hooker, Yacine Jernite, Alexandra Sasha Luccioni, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

CoRR, 2023

This Prompt is Measuring : Evaluating Bias Evaluation in Language Models.

Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett

CoRR, 2023

Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities.

Samer B. Nashed, Justin Svegliato, Su Lin Blodgett

CoRR, 2023

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices.

Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.

Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models.

Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FairPrism: Evaluating Fairness-Related Harms in Text Generation.

Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging.

Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Examining Political Rhetoric with Epistemic Stance Detection.

Ankita Gupta, Su Lin Blodgett, Justin H. Gross, Brendan T. O'Connor

CoRR, 2022

Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.

Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Responsible Language Technologies: Foreseeing and Mitigating Harms.

Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews.

David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Risks of AI Foundation Models in Education.

Su Lin Blodgett, Michael Madaio

CoRR, 2021

Confronting Structural Inequities in AI for Education.

Michael Madaio, Su Lin Blodgett, Elijah Mayfield, Ezekiel Dixon-Román

CoRR, 2021

How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP.

Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett

CoRR, 2021

A Survey of Race, Racism, and Anti-Racism in NLP.

Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets.

Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna M. Wallach

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The meaning and measurement of bias: lessons from natural language processing.

Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach

Proceedings of the FAT* '20: Conference on Fairness, 2020

Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses.

Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Twitter Universal Dependency Parsing for African-American and Mainstream American English.

Su Lin Blodgett, Johnny Wei, Brendan T. O'Connor

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English.

Su Lin Blodgett, Brendan O'Connor

CoRR, 2017

A Dataset and Classifier for Recognizing Social Media English.

Su Lin Blodgett, Johnny Wei, Brendan O'Connor

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016

Visualizing textual models with in-text and word-as-pixel highlighting.

Abram Handler, Su Lin Blodgett, Brendan O'Connor

CoRR, 2016

Demographic Dialectal Variation in Social Media: A Case Study of African-American English.

Su Lin Blodgett, Lisa Green, Brendan T. O'Connor

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016