Solon Barocas

According to our database, Solon Barocas authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work.

Wesley Hanwen Deng, Solon Barocas, Jennifer Wortman Vaughan

CoRR, 2024

The Legal Duty to Search for Less Discriminatory Algorithms.

Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu

CoRR, 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

On the Actionability of Outcome Prediction.

Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification.

A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Variance, Self-Consistency, and Arbitrariness in Fair Classification.

A. Feder Cooper, Solon Barocas, Christopher De Sa, Siddhartha Sen

CoRR, 2023

Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints.

Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy.

Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Informational Diversity and Affinity Bias in Team Growth Dynamics.

Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 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

On modeling human perceptions of allocation policies with uncertain outcomes.

Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy

SIGecom Exch., July, 2022

An Uncommon Task: Participatory Design in Legal AI.

Fernando Delgado, Solon Barocas, Karen Levy

Proc. ACM Hum. Comput. Interact., 2022

Measuring Representational Harms in Image Captioning.

Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research.

Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Model Multiplicity: Opportunities, Concerns, and Solutions.

Emily Black, Manish Raghavan, Solon Barocas

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disentangling the Components of Ethical Research in Machine Learning.

Carolyn Ashurst, Solon Barocas, Rosie Campbell, Deborah Raji

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Mimetic Models: Ethical Implications of AI that Acts Like You.

Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson

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

2021

Responsible computing during COVID-19 and beyond.

Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford, Hal Daumé III, Miroslav Dudík, Benjamin Fish, Mary L. Gray, Brent J. Hecht, Alexandra Olteanu, Forough Poursabzi-Sangdeh, Luke Stark, Jennifer Wortman Vaughan, Hanna M. Wallach, Marion Zepf

Commun. ACM, 2021

Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness.

Kate Donahue, Solon Barocas

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies.

Briana Vecchione, Karen Levy, Solon Barocas

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Computer Vision and Conflicting Values: Describing People with Automated Alt Text.

Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs.

Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Mitigating bias in algorithmic hiring: evaluating claims and practices.

Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy

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

The hidden assumptions behind counterfactual explanations and principal reasons.

Solon Barocas, Andrew D. Selbst, Manish Raghavan

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

When not to design, build, or deploy.

Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark

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

Roles for computing in social change.

Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson

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

2019

Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices.

Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy

CoRR, 2019

Problem Formulation and Fairness.

Samir Passi, Solon Barocas

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms.

Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy

Proc. ACM Hum. Comput. Interact., 2018

2017

Ten simple rules for responsible big data research.

Matthew Zook, Solon Barocas, danah boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara König, Jacob Metcalf, Arvind Narayanan, Alondra Nelson, Frank Pasquale

PLoS Comput. Biol., 2017

Big Data, Data Science, and Civil Rights.

Solon Barocas, Elizabeth Bradley, Vasant G. Honavar, Foster J. Provost

CoRR, 2017

Engaging the ethics of data science in practice.

Solon Barocas, danah boyd

Commun. ACM, 2017

Social and Technical Trade-Offs in Data Science.

Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach

Big Data, 2017

2016

WSDM 2016 Workshop on the Ethics of Online Experimentation.

Fernando Diaz, Solon Barocas

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2014

Big data's end run around procedural privacy protections.

Solon Barocas, Helen Nissenbaum

Commun. ACM, 2014

2012

A Critical Look at Decentralized Personal Data Architectures

Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen Nissenbaum, Dan Boneh

CoRR, 2012

The price of precision: voter microtargeting and its potential harms to the democratic process.

Solon Barocas

Proceedings of the first edition workshop on Politics, elections and data, 2012

2010

Adnostic: Privacy Preserving Targeted Advertising.

Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum, Solon Barocas

Proceedings of the Network and Distributed System Security Symposium, 2010