Search Results - "Barocas, Solon"

Big Data's Disparate Impact by Barocas, Solon, Selbst, Andrew D.

“…Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is…”
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ACCOUNTABLE ALGORITHMS by Kroll, Joshua A., Huey, Joanna, Barocas, Solon, Felten, Edward W., Reidenberg, Joel R., Robinson, David G., Yu, Harlan

“…Many important decisions historically made by people are now made by computers. Algorithms count votes, approve loan and credit card applications, target…”
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Ten simple rules for responsible big data research by Zook, Matthew, Barocas, Solon, Boyd, Danah, Crawford, Kate, Keller, Emily, Gangadharan, Seeta Peña, Goodman, Alyssa, Hollander, Rachelle, Koenig, Barbara A, Metcalf, Jacob, Narayanan, Arvind, Nelson, Alondra, Pasquale, Frank

“…About the Authors: Matthew Zook * E-mail: zook@uky.edu Affiliation: Department of Geography, University of Kentucky, Lexington, Kentucky, United States of…”
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Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination by Rosenblat, Alex, Levy, Karen E.C., Barocas, Solon, Hwang, Tim

“…Consumer‐sourced rating systems are a dominant method of worker evaluation in platform‐based work. These systems facilitate the semi‐automated management of…”
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Unfair artificial intelligence: How FTC intervention can overcome the limitations of discrimination law by Selbst, Andrew D, Barocas, Solon

“…Discriminatory artificial intelligence is unfair. Until very recently, the Federal Trade Commission, the United States federal agency charged with regulating…”
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Social and Technical Trade-Offs in Data Science by Barocas, Solon, Boyd, Danah, Friedler, Sorelle, Wallach, Hanna

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Algorithmic Fairness: Choices, Assumptions, and Definitions by Mitchell, Shira, Potash, Eric, Barocas, Solon, D'Amour, Alexander, Lum, Kristian

“…A recent wave of research has attempted to define fairness quantitatively. In particular, this work has explored what fairness might mean in the context of…”
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PRIVACY DEPENDENCIES by Barocas, Solon, Levy, Karen

“…This Article offers a comprehensive survey of privacy dependencies- the many ways that our privacy depends on the decisions and disclosures of other people…”
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Designing Against Discrimination in Online Markets by Levy, Karen, Barocas, Solon

“…Platforms that connect users to one another have flourished online in domains as diverse as transportation, employment, dating, and housing. When users…”
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Designing Against Discrimination in Online Markets by Levy, Karen, Barocas, Solon

“…Platforms that connect users to one another have flourished online in domains as diverse as transportation, employment, dating, and housing. When users…”
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Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness by Donahue, Kate, Barocas, Solon

“…Consider a cost-sharing game with players of different contribution to the total cost: an example might be an insurance company calculating premiums for a…”
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Panic inducing: Data mining, fairness, and privacy by Barocas, Solon

“…This dissertation furnishes an account of the ethically relevant features of data mining, focusing on issues of fairness, privacy, and justice. It explicates…”
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Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work by Deng, Wesley Hanwen, Barocas, Solon, Vaughan, Jennifer Wortman

“…Recent years have witnessed increasing calls for computing researchers to grapple with the societal impacts of their work. Tools such as impact assessments…”
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The Legal Duty to Search for Less Discriminatory Algorithms by Black, Emily, Koepke, Logan, Kim, Pauline, Barocas, Solon, Hsu, Mingwei

“…Work in computer science has established that, contrary to conventional wisdom, for a given prediction problem there are almost always multiple possible models…”
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Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways by Wang, Angelina, Bai, Xuechunzi, Barocas, Solon, Blodgett, Su Lin

“…As machine learning applications proliferate, we need an understanding of their potential for harm. However, current fairness metrics are rarely grounded in…”
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An Uncommon Task: Participatory Design in Legal AI by Delgado, Fernando, Barocas, Solon, Levy, Karen

“…In Proceedings of the ACM on Human-Computer Interaction, 6, CSCW1, Article 51 (April 2022), 23 pages Despite growing calls for participation in AI design,…”
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Problem Formulation and Fairness by Passi, Samir, Barocas, Solon

“…Formulating data science problems is an uncertain and difficult process. It requires various forms of discretionary work to translate high-level objectives or…”
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On the Actionability of Outcome Prediction by Liu, Lydia T, Barocas, Solon, Kleinberg, Jon, Levy, Karen

“…Predicting future outcomes is a prevalent application of machine learning in social impact domains. Examples range from predicting student success in education…”
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Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints by Watson-Daniels, Jamelle, Barocas, Solon, Hofman, Jake M, Chouldechova, Alexandra

“…Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, June 2023, Pages 297-311 Prediction models have been widely adopted as…”
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Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies by Vecchione, Briana, Barocas, Solon, Levy, Karen

“…Algorithmic audits have been embraced as tools to investigate the functioning and consequences of sociotechnical systems. Though the term is used somewhat…”
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