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Solon Barocas
Researcher at Microsoft
Publications - 72
Citations - 6930
Solon Barocas is an academic researcher from Microsoft. The author has contributed to research in topics: Computer science & Normative. The author has an hindex of 27, co-authored 59 publications receiving 4584 citations. Previous affiliations of Solon Barocas include Princeton University & New York University.
Papers
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Journal ArticleDOI
Big Data's Disparate Impact
Solon Barocas,Andrew D. Selbst +1 more
TL;DR: In the absence of a demonstrable intent to discriminate, the best doctrinal hope for data mining's victims would seem to lie in disparate impact doctrine as discussed by the authors, which holds that a practice can be justified as a business necessity when its outcomes are predictive of future employment outcomes, and data mining is specifically designed to find such statistical correlations.
Journal ArticleDOI
Big Data’s Disparate Impact
Solon Barocas,Andrew D. Selbst +1 more
TL;DR: In the absence of a demonstrable intent to discriminate, the best doctrinal hope for data mining's victims would seem to lie in disparate impact doctrine as discussed by the authors, which holds that a practice can be justified as a business necessity when its outcomes are predictive of future employment outcomes, and data mining is specifically designed to find such statistical correlations.
Posted Content
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
TL;DR: The authors survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing bias is an inherently normative process.
Posted Content
Adnostic: Privacy Preserving Targeted Advertising
Vincent Toubiana,Arvind Narayanan,Dan Boneh,Helen Nissenbaum,Helen Nissenbaum,Solon Barocas,Solon Barocas +6 more
TL;DR: This paper proposes a practical architecture that enables targeting without compromising user privacy, and implements the core targeting system as a Firefox extension and reports on its effectiveness.
Proceedings ArticleDOI
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
TL;DR: A greater recognition of the relationships between language and social hierarchies is urged, encouraging researchers and practitioners to articulate their conceptualizations of “bias” and to center work around the lived experiences of members of communities affected by NLP systems.