Solon Barocas

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 54

Top Topics

Predictive Accuracy

Outcome Prediction

Allocation Policies

Top Venues

Publications

A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. AAAI (2024)
Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy
On the Actionability of Outcome Prediction. AAAI (2024)
Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett
Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways. CoRR (2024)
Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu
The Legal Duty to Search for Less Discriminatory Algorithms. CoRR (2024)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. AAAI (2023)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
Informational Diversity and Affinity Bias in Team Growth Dynamics. CoRR (2023)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. CoRR (2023)
Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy
On the Actionability of Outcome Prediction. CoRR (2023)
A. Feder Cooper, Solon Barocas, Christopher De Sa, Siddhartha Sen
Variance, Self-Consistency, and Arbitrariness in Fair Classification. CoRR (2023)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
Informational Diversity and Affinity Bias in Team Growth Dynamics. EAAMO (2023)
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT (2023)
Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. CoRR (2023)
Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. FAccT (2023)
Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach
Measuring Representational Harms in Image Captioning. CoRR (2022)
Fernando Delgado, Solon Barocas, Karen Levy
An Uncommon Task: Participatory Design in Legal AI. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. FAccT (2022)
Emily Black, Manish Raghavan, Solon Barocas
Model Multiplicity: Opportunities, Concerns, and Solutions. FAccT (2022)
Carolyn Ashurst, Solon Barocas, Rosie Campbell, Deborah Raji
Disentangling the Components of Ethical Research in Machine Learning. FAccT (2022)
Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson
Mimetic Models: Ethical Implications of AI that Acts Like You. AIES (2022)
Fernando Delgado, Solon Barocas, Karen Levy
An Uncommon Task: Participatory Design in Legal AI. CoRR (2022)
Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. CoRR (2022)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
On modeling human perceptions of allocation policies with uncertain outcomes. SIGecom Exch. 20 (1) (2022)
Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson
Mimetic Models: Ethical Implications of AI that Acts Like You. CoRR (2022)
Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach
Measuring Representational Harms in Image Captioning. FAccT (2022)
Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. AIES (2021)
Briana Vecchione, Solon Barocas, Karen Levy
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. CoRR (2021)
Kate Donahue, Solon Barocas
Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. FAccT (2021)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. CoRR (2021)
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. AIES (2021)
Kate Donahue, Solon Barocas
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. CoRR (2021)
Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. CoRR (2021)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. EC (2021)
Briana Vecchione, Karen Levy, Solon Barocas
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. EAAMO (2021)
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
Responsible computing during COVID-19 and beyond. Commun. ACM 64 (7) (2021)
Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. CoRR (2021)
Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark
When not to design, build, or deploy. FAT* (2020)
Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
The meaning and measurement of bias: lessons from natural language processing. FAT* (2020)
Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson
Roles for computing in social change. FAT* (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL (2020)
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR (2020)
Solon Barocas, Andrew D. Selbst, Manish Raghavan
The hidden assumptions behind counterfactual explanations and principal reasons. FAT* (2020)
Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy
Mitigating bias in algorithmic hiring: evaluating claims and practices. FAT* (2020)
Samir Passi, Solon Barocas
Problem Formulation and Fairness. CoRR (2019)
Samir Passi, Solon Barocas
Problem Formulation and Fairness. FAT (2019)
Solon Barocas, Andrew D. Selbst, Manish Raghavan
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons. CoRR (2019)
Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson
Roles for Computing in Social Change. CoRR (2019)
Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. CoRR (2019)
Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. CoRR (2018)
Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach
Social and Technical Trade-Offs in Data Science. Big Data 5 (2) (2017)
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
Ten simple rules for responsible big data research. PLoS Comput. Biol. 13 (3) (2017)
Solon Barocas, danah boyd
Engaging the ethics of data science in practice. Commun. ACM 60 (11) (2017)
Solon Barocas, Elizabeth Bradley, Vasant G. Honavar, Foster J. Provost
Big Data, Data Science, and Civil Rights. CoRR (2017)
Fernando Diaz, Solon Barocas
WSDM 2016 Workshop on the Ethics of Online Experimentation. WSDM (2016)
Solon Barocas, Helen Nissenbaum
Big data's end run around procedural privacy protections. Commun. ACM 57 (11) (2014)
Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen Nissenbaum, Dan Boneh
A Critical Look at Decentralized Personal Data Architectures CoRR (2012)
Solon Barocas
The price of precision: voter microtargeting and its potential harms to the democratic process. PLEAD@CIKM (2012)
Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum, Solon Barocas
Adnostic: Privacy Preserving Targeted Advertising. NDSS (2010)