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ORCIDSolon Barocas
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2020 – today
- 2024
[c26]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: 22004-22012- [c25]Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On the Actionability of Outcome Prediction. AAAI 2024: 22240-22249 - [i25]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 abs/2402.04420 (2024) - [i24]Emily Black, Logan Koepke, Pauline Kim, Solon Barocas, Mingwei Hsu:
The Legal Duty to Search for Less Discriminatory Algorithms. CoRR abs/2406.06817 (2024) - [i23]Wesley Hanwen Deng, Solon Barocas, Jennifer Wortman Vaughan:
Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work. CoRR abs/2408.01057 (2024) - 2023
- [c24]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: 14277-14285 - [c23]Hoda Heidari
, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Informational Diversity and Affinity Bias in Team Growth Dynamics. EAAMO 2023: 18:1-18:10 - [c22]Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova:
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. FAccT 2023: 297-311 - [c21]Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan:
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT 2023: 626 - [i22]A. Feder Cooper, Solon Barocas, Christopher De Sa, Siddhartha Sen:
Variance, Self-Consistency, and Arbitrariness in Fair Classification. CoRR abs/2301.11562 (2023) - [i21]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Informational Diversity and Affinity Bias in Team Growth Dynamics. CoRR abs/2301.12091 (2023) - [i20]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 abs/2305.01776 (2023) - [i19]Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova:
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints. CoRR abs/2306.13738 (2023) - [i18]Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On the Actionability of Outcome Prediction. CoRR abs/2309.04470 (2023) - 2022
- [j8]Fernando Delgado, Solon Barocas, Karen Levy:
An Uncommon Task: Participatory Design in Legal AI. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 51:1-51:23 (2022) - [j7]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On modeling human perceptions of allocation policies with uncertain outcomes. SIGecom Exch. 20(1): 47-54 (2022) - [c20]Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson:
Mimetic Models: Ethical Implications of AI that Acts Like You. AIES 2022: 479-490 - [c19]Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach:
Measuring Representational Harms in Image Captioning. FAccT 2022: 324-335 - [c18]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: 587-597 - [c17]Emily Black, Manish Raghavan, Solon Barocas:
Model Multiplicity: Opportunities, Concerns, and Solutions. FAccT 2022: 850-863 - [c16]Carolyn Ashurst, Solon Barocas, Rosie Campbell, Deborah Raji:
Disentangling the Components of Ethical Research in Machine Learning. FAccT 2022: 2057-2068 - [i17]Fernando Delgado, Solon Barocas, Karen Levy:
An Uncommon Task: Participatory Design in Legal AI. CoRR abs/2203.06246 (2022) - [i16]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 abs/2205.08363 (2022) - [i15]Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach:
Measuring Representational Harms in Image Captioning. CoRR abs/2206.07173 (2022) - [i14]Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Solon Barocas, Ashton Anderson:
Mimetic Models: Ethical Implications of AI that Acts Like You. CoRR abs/2207.09394 (2022) - 2021
- [j6]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): 30-32 (2021) - [c15]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: 368-378 - [c14]Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum:
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. AIES 2021: 543-554 - [c13]Briana Vecchione, Karen Levy, Solon Barocas:
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. EAAMO 2021: 19:1-19:9 - [c12]Kate Donahue, Solon Barocas:
Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. FAccT 2021: 185-195 - [c11]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. EC 2021: 589-609 - [i13]Kate Donahue, Solon Barocas:
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness. CoRR abs/2103.00347 (2021) - [i12]Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes. CoRR abs/2103.05827 (2021) - [i11]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 abs/2103.06076 (2021) - [i10]Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum:
Computer Vision and Conflicting Values: Describing People with Automated Alt Text. CoRR abs/2105.12754 (2021) - [i9]Briana Vecchione, Solon Barocas, Karen Levy:
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies. CoRR abs/2109.06974 (2021) - 2020
- [c10]Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL 2020: 5454-5476 - [c9]Solon Barocas, Andrew D. Selbst, Manish Raghavan:
The hidden assumptions behind counterfactual explanations and principal reasons. FAT* 2020: 80-89 - [c8]Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for computing in social change. FAT* 2020: 252-260 - [c7]Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Mitigating bias in algorithmic hiring: evaluating claims and practices. FAT* 2020: 469-481 - [c6]Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark:
When not to design, build, or deploy. FAT* 2020: 695 - [c5]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: 706 - [i8]Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach:
Language (Technology) is Power: A Critical Survey of "Bias" in NLP. CoRR abs/2005.14050 (2020)
2010 – 2019
- 2019
- [c4]Samir Passi, Solon Barocas:
Problem Formulation and Fairness. FAT 2019: 39-48 - [i7]Samir Passi, Solon Barocas:
Problem Formulation and Fairness. CoRR abs/1901.02547 (2019) - [i6]Manish Raghavan, Solon Barocas, Jon M. Kleinberg, Karen Levy:
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. CoRR abs/1906.09208 (2019) - [i5]Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for Computing in Social Change. CoRR abs/1912.04883 (2019) - [i4]Solon Barocas, Andrew D. Selbst, Manish Raghavan:
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons. CoRR abs/1912.04930 (2019) - 2018
- [j5]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): 73:1-73:18 (2018) - [i3]Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy:
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. CoRR abs/1809.01563 (2018) - 2017
- [j4]Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach:
Social and Technical Trade-Offs in Data Science. Big Data 5(2): 71-72 (2017) - [j3]Solon Barocas, danah boyd:
Engaging the ethics of data science in practice. Commun. ACM 60(11): 23-25 (2017) - [j2]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) - [i2]Solon Barocas, Elizabeth Bradley, Vasant G. Honavar, Foster J. Provost:
Big Data, Data Science, and Civil Rights. CoRR abs/1706.03102 (2017) - 2016
- [c3]Fernando Diaz, Solon Barocas:
WSDM 2016 Workshop on the Ethics of Online Experimentation. WSDM 2016: 695-696 - 2014
- [j1]Solon Barocas, Helen Nissenbaum:
Big data's end run around procedural privacy protections. Commun. ACM 57(11): 31-33 (2014) - 2012
- [c2]Solon Barocas:
The price of precision: voter microtargeting and its potential harms to the democratic process. PLEAD@CIKM 2012: 31-36 - [i1]Arvind Narayanan, Vincent Toubiana, Solon Barocas, Helen Nissenbaum, Dan Boneh:
A Critical Look at Decentralized Personal Data Architectures. CoRR abs/1202.4503 (2012) - 2010
- [c1]Vincent Toubiana, Arvind Narayanan, Dan Boneh, Helen Nissenbaum, Solon Barocas:
Adnostic: Privacy Preserving Targeted Advertising. NDSS 2010
Coauthor Index
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last updated on 2024-09-10 23:42 CEST by the dblp team
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