Alexandra Chouldechova

80 papers A* 8A 2C 1Journal 48Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming. CoRR Alexandra Chouldechova, A. Feder Cooper, Solon Barocas, Abhinav Palia, Dan Vann, Hanna M. Wallach
2026	—	`conf`	Effects of Generative AI Errors on User Reliance Across Task Difficulty. CHI Extended Abstracts Jacy Reese Anthis, Hannah Cha, Solon Barocas, Alexandra Chouldechova, Jake M. Hofman
2025	J	`jnl`	Leveraging Expert Consistency to Improve Algorithmic Decision Support. Manag. Sci. Maria De-Arteaga, Vincent Jeanselme, Artur Dubrawski, Alexandra Chouldechova
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	—	`conf`	Taxonomizing Representational Harms using Speech Act Theory. ACL (Findings) Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alexandra Chouldechova, P. Alex Dow, Jean Garcia-Gathright, Nicholas J. Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna M. Wallach
2025	J	`jnl`	Taxonomizing Representational Harms using Speech Act Theory. CoRR Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alexandra Chouldechova, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna M. Wallach
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
2025	J	`jnl`	Validating LLM-as-a-Judge Systems in the Absence of Gold Labels. CoRR Luke Guerdan, Solon Barocas, Kenneth Holstein, Hanna M. Wallach, Zhiwei Steven Wu, Alexandra Chouldechova
2024	J	`jnl`	A Framework for Evaluating LLMs Under Task Indeterminacy. CoRR Luke Guerdan, Hanna M. Wallach, Solon Barocas, Alexandra Chouldechova
2024	J	`jnl`	A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts. CoRR Alexandra Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna M. Wallach
2024	—	`conf`	A structured regression approach for evaluating model performance across intersectional subgroups. FAccT Christine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík
2024	J	`jnl`	A structured regression approach for evaluating model performance across intersectional subgroups. CoRR Christine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík
2024	—	`conf`	Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool. AIES (1) Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan
2024	J	`jnl`	Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool. CoRR Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan
2024	J	`jnl`	Dimensions of Generative AI Evaluation Design. CoRR P. Alex Dow, Jennifer Wortman Vaughan, Solon Barocas, Chad Atalla, Alexandra Chouldechova, Hanna M. Wallach
2024	—	`conf`	Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders. AIES (1) Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova
2024	J	`jnl`	Do Responsible AI Artifacts Advance Stakeholder Goals? Four Key Barriers Perceived by Legal and Civil Stakeholders. CoRR Anna Kawakami, Daricia Wilkinson, Alexandra Chouldechova
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	J	`jnl`	Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. CoRR A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando A. Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee
2024	J	`jnl`	SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation. CoRR Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík
2024	A*	`conf`	SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation. NeurIPS Misha Khodak, Lester Mackey, Alexandra Chouldechova, Miro Dudík
2024	—	`conf`	The Impact of Differential Feature Under-reporting on Algorithmic Fairness. FAccT Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
2024	J	`jnl`	The Impact of Differential Feature Under-reporting on Algorithmic Fairness. CoRR Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
2023	—	`conf`	Examining risks of racial biases in NLP tools for child protective services. FAccT Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
2023	J	`jnl`	Examining risks of racial biases in NLP tools for child protective services. CoRR Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
2023	—	`conf`	Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. FAccT Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
2023	J	`jnl`	Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. CoRR Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
2023	A*	`conf`	Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control. CHI Lingwei Cheng, Alexandra Chouldechova
2023	J	`jnl`	Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control. CoRR Lingwei Cheng, Alexandra Chouldechova
2022	—	`conf`	Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. FAccT Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
2022	J	`jnl`	Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. CoRR Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho
2022	J	`jnl`	Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. CoRR Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski
2022	J	`jnl`	Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening. CoRR Lingwei Cheng, Alexandra Chouldechova
2022	J	`jnl`	Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening. Proc. ACM Hum. Comput. Interact. Lingwei Cheng, Alexandra Chouldechova
2022	—	`conf`	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. FAccT Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
2022	J	`jnl`	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. CoRR Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
2022	—	`conf`	Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. FAccT Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022	J	`jnl`	Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. CoRR Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu
2022	—	`conf`	Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. ECCV (13) Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona
2021	A*	`conf`	Characterizing Fairness Over the Set of Good Models Under Selective Labels. ICML Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
2021	J	`jnl`	Characterizing Fairness Over the Set of Good Models Under Selective Labels. CoRR Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
2021	—	`conf`	Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds. FAccT Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
2021	—	`conf`	Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. FAccT Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
2021	J	`jnl`	Leveraging Expert Consistency to Improve Algorithmic Decision Support. CoRR Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
2021	C	`conf`	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. AIES Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova
2021	A*	`conf`	Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. CHI Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu
2021	J	`jnl`	Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems. CoRR Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu
2021	J	`jnl`	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. CoRR Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021	J	`jnl`	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. Proc. ACM Hum. Comput. Interact. Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021	—	`conf`	The effect of differential victim crime reporting on predictive policing systems. FAccT Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova
2021	J	`jnl`	The effect of differential victim crime reporting on predictive policing systems. CoRR Nil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova
2021	J	`jnl`	Using a Machine Learning Tool to Support High-Stakes Decisions in Child Protection. AI Mag. Rhema Vaithianathan, Diana Benavides Prado, Eric E. Dalton, Alexandra Chouldechova, Emily Putnam-Hornstein
2020	A*	`conf`	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CHI Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
2020	J	`jnl`	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CoRR Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
2020	J	`jnl`	A snapshot of the frontiers of fairness in machine learning. Commun. ACM Alexandra Chouldechova, Aaron Roth
2020	A*	`conf`	Counterfactual Predictions under Runtime Confounding. NeurIPS Amanda Coston, Edward H. Kennedy, Alexandra Chouldechova
2020	J	`jnl`	Counterfactual Predictions under Runtime Confounding. CoRR Amanda Coston, Edward H. Kennedy, Alexandra Chouldechova
2020	—	`conf`	Counterfactual risk assessments, evaluation, and fairness. FAT* Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova
2020	A	`conf`	Fairness Evaluation in Presence of Biased Noisy Labels. AISTATS Riccardo Fogliato, Alexandra Chouldechova, Max G'Sell
2020	J	`jnl`	Fairness Evaluation in Presence of Biased Noisy Labels. CoRR Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova
2020	J	`jnl`	Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy. CoRR Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho
2019	—	`conf`	Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. FAT Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
2019	J	`jnl`	Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. CoRR Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
2019	J	`jnl`	Counterfactual Risk Assessments, Evaluation, and Fairness. CoRR Amanda Coston, Alexandra Chouldechova, Edward H. Kennedy
2019	A*	`conf`	Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services. CHI Anna Brown, Alexandra Chouldechova, Emily Putnam-Hornstein, Andrew Tobin, Rhema Vaithianathan
2019	—	`conf`	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
2019	J	`jnl`	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
2018	—	`conf`	A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions. FAT Alexandra Chouldechova, Diana Benavides Prado, Oleksandr Fialko, Rhema Vaithianathan
2018	A*	`conf`	Does mitigating ML's impact disparity require treatment disparity? NeurIPS Zachary C. Lipton, Julian J. McAuley, Alexandra Chouldechova
2018	J	`jnl`	Learning under selective labels in the presence of expert consistency. CoRR Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
2018	J	`jnl`	The Frontiers of Fairness in Machine Learning. CoRR Alexandra Chouldechova, Aaron Roth
2017	J	`jnl`	Does mitigating ML's disparate impact require disparate treatment? CoRR Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley
2017	J	`jnl`	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments. Big Data Alexandra Chouldechova
2017	J	`jnl`	Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. CoRR Alexandra Chouldechova
2017	J	`jnl`	Fairer and more accurate, but for whom? CoRR Alexandra Chouldechova, Max G'Sell
2016	J	`jnl`	Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. CoRR Alexandra Chouldechova
2013	A	`conf`	Differences in search engine evaluations between query owners and non-owners. WSDM Alexandra Chouldechova, David Mease