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Big Data’s End Run around Anonymity and Consent

Chapter of: Book of Anonymity(pp. 116–141)

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Metadata
TitleBig Data’s End Run around Anonymity and Consent
ContributorSolon Barocas(author)
Helen Nissenbaum(author)
DOIhttps://doi.org/10.53288/0315.1.08
Landing pagehttps://punctumbooks.com/titles/book-of-anonymity/
Licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/
CopyrightSolon Barocas; Helen Nissenbaum
Publisherpunctum books
Published on2021-03-04
Page rangepp. 116–141
Print length26 pages
LanguageEnglish (Original)
Contributors

Solon Barocas

(author)
https://orcid.org/0000-0003-4577-466X

Solon Barocas is a Principal Researcher in the New York City lab of Microsoft Research and an Assistant Professor in the Department of Information Science at Cornell University. He is also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University. His research explores ethical and policy issues in artificial intelligence. Borocas co-founded the annual workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT / ML) and later established the ACM conference on Fairness, Accountability, and Transparency (FAT*).

Helen Nissenbaum

(author)
https://orcid.org/0000-0002-6485-6997

Helen Nissenbaum is a Professor at Cornell Tech and in the Information Science Department at Cornell University. Her research takes an ethical perspective on policy, law, science, and engineering relating to information technology, computing, digital media and data science. Topics have included privacy, trust, accountability, security, and values in technology design. Her books include Obfuscation: A User's Guide for Privacy and Protest, with Finn Brunton (MIT Press, 2015) and Privacy in Context: Technology, Policy, and the Integrity of Social Life (Stanford, 2010).