Su Lin Blodgett

61 papers A* 7C 1Journal 32Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Framework to Characterize Reporting on Generative AI Use. CHI Agathe Balayn, Varun Nagaraj Rao, Su Lin Blodgett, Aylin Caliskan, Solon Barocas
2026	A*	`conf`	From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants. CHI Shalaleh Rismani, Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, AJung Moon
2025	J	`jnl`	'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models. Proc. ACM Hum. Comput. Interact. Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett, Alexandra Olteanu, Adam Trischler
2025	A*	`conf`	A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies. CHI Alicia DeVrio, Myra Cheng, Lisa Egede, Alexandra Olteanu, Su Lin Blodgett
2025	J	`jnl`	A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies. CoRR Alicia DeVrio, Myra Cheng, Lisa Egede, Alexandra Olteanu, Su Lin Blodgett
2025	J	`jnl`	AI Automatons: AI Systems Intended to Imitate Humans. CoRR Alexandra Olteanu, Solon Barocas, Su Lin Blodgett, Lisa Egede, Alicia DeVrio, Myra Cheng
2025	—	`conf`	Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems. ACL (1) Myra Cheng, Su Lin Blodgett, Alicia DeVrio, Lisa Egede, Alexandra Olteanu
2025	J	`jnl`	Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems. CoRR Myra Cheng, Su Lin Blodgett, Alicia DeVrio, Lisa Egede, Alexandra Olteanu
2025	—	`conf`	Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways. FAccT Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett
2025	—	`conf`	Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge. ICML (Position Papers) Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J. Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2025	J	`jnl`	Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge. CoRR Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2025	J	`jnl`	Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. CoRR Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flávio du Pin Calmon, Margaret Mitchell, Michael D. Ekstrand, Reuben Binns, Solon Barocas
2025	—	`conf`	Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems. ACL (Findings) Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach
2025	J	`jnl`	Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems. CoRR Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach
2024	J	`jnl`	"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI. CoRR Myra Cheng, Alicia DeVrio, Lisa Egede, Su Lin Blodgett, Alexandra Olteanu
2024	J	`jnl`	"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models. CoRR Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett, Alexandra Olteanu, Adam Trischler
2024	—	`conf`	"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors. NAACL-HLT Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu
2024	—	`conf`	ECBD: Evidence-Centered Benchmark Design for NLP. ACL (1) Yu Lu Liu, Su Lin Blodgett, Jackie C. K. Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao
2024	J	`jnl`	ECBD: Evidence-Centered Benchmark Design for NLP. CoRR Yu Lu Liu, Su Lin Blodgett, Jackie Chi Kit Cheung, Q. Vera Liao, Alexandra Olteanu, Ziang Xiao
2024	J	`jnl`	Evaluating Generative AI Systems is a Social Science Measurement Challenge. CoRR Hanna M. Wallach, Meera A. Desai, Nicholas Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alexandra Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
2024	J	`jnl`	Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems. CoRR Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach
2024	—	`conf`	Human-Centered Evaluation of Language Technologies. EMNLP (Tutorial Abstracts) Su Lin Blodgett, Jackie Chi Kit Cheung, Vera Liao, Ziang Xiao
2024	J	`jnl`	Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways. CoRR Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett
2024	A*	`conf`	Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP. EMNLP Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat
2024	—	`conf`	The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
2024	J	`jnl`	The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat
2024	—	`conf`	Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. ACL (Findings) Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daumé III, Christina N. Harrington, Hanna M. Wallach
2023	J	`jnl`	"One-size-fits-all"? Observations and Expectations of NLG Systems Across Identity-Related Language Features. CoRR Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu
2023	J	`jnl`	Evaluating the Social Impact of Generative AI Systems in Systems and Society. CoRR 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
2023	—	`conf`	FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach
2023	J	`jnl`	Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. CoRR Samer B. Nashed, Justin Svegliato, Su Lin Blodgett
2023	—	`conf`	It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023	J	`jnl`	It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023	—	`conf`	Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. EMNLP (Findings) Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
2023	J	`jnl`	Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. CoRR Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler
2023	A*	`conf`	Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. AAAI Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
2023	J	`jnl`	Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. CoRR Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
2023	J	`jnl`	This Prompt is Measuring : Evaluating Bias Evaluation in Language Models. CoRR Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
2023	—	`conf`	This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models. ACL (Findings) Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett
2022	—	`conf`	Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022	J	`jnl`	Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022	J	`jnl`	Examining Political Rhetoric with Epistemic Stance Detection. CoRR Ankita Gupta, Su Lin Blodgett, Justin H. Gross, Brendan T. O'Connor
2022	C	`conf`	Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad
2022	—	`conf`	Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang
2021	—	`conf`	A Survey of Race, Racism, and Anti-Racism in NLP. ACL/IJCNLP (1) Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov
2021	J	`jnl`	A Survey of Race, Racism, and Anti-Racism in NLP. CoRR Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov
2021	J	`jnl`	Confronting Structural Inequities in AI for Education. CoRR Michael Madaio, Su Lin Blodgett, Elijah Mayfield, Ezekiel Dixon-Román
2021	J	`jnl`	How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP. CoRR Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett
2021	J	`jnl`	Risks of AI Foundation Models in Education. CoRR Su Lin Blodgett, Michael Madaio
2021	—	`conf`	Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. ACL/IJCNLP (1) Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna M. Wallach
2020	A*	`conf`	Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2020	J	`jnl`	Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2020	—	`conf`	The meaning and measurement of bias: lessons from natural language processing. FAT* Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
2018	—	`conf`	Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. NAACL-HLT Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor
2018	J	`jnl`	Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. CoRR Katherine A. Keith, Su Lin Blodgett, Brendan O'Connor
2018	—	`conf`	Twitter Universal Dependency Parsing for African-American and Mainstream American English. ACL (1) Su Lin Blodgett, Johnny Wei, Brendan T. O'Connor
2017	—	`conf`	A Dataset and Classifier for Recognizing Social Media English. NUT@EMNLP Su Lin Blodgett, Johnny Wei, Brendan O'Connor
2017	J	`jnl`	Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English. CoRR Su Lin Blodgett, Brendan O'Connor
2016	A*	`conf`	Demographic Dialectal Variation in Social Media: A Case Study of African-American English. EMNLP Su Lin Blodgett, Lisa Green, Brendan T. O'Connor
2016	J	`jnl`	Demographic Dialectal Variation in Social Media: A Case Study of African-American English. CoRR Su Lin Blodgett, Lisa Green, Brendan O'Connor
2016	J	`jnl`	Visualizing textual models with in-text and word-as-pixel highlighting. CoRR Abram Handler, Su Lin Blodgett, Brendan O'Connor