Search Results - "Selbst, Andrew D."
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1
Big Data's Disparate Impact
Published in California law review (01-06-2016)“…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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Unfair artificial intelligence: How FTC intervention can overcome the limitations of discrimination law
Published in University of Pennsylvania law review (01-04-2023)“…Discriminatory artificial intelligence is unfair. Until very recently, the Federal Trade Commission, the United States federal agency charged with regulating…”
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Meaningful information and the right to explanation
Published in International data privacy law (01-11-2017)“…In May 2018, Europe’s new General Data Protection Regulation (GDPR) will apply across all European Union Member States.1 The GDPR is an ambitious, complicated,…”
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NEGLIGENCE AND AI'S HUMAN USERS
Published in Boston University law review (01-09-2020)“…Negligence law is often asked to adapt to new technologies. So it is with artificial intelligence ("AI"). Though AI often conjures images of autonomous robots,…”
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AN INSTITUTIONAL VIEW OF ALGORITHMIC IMPACT ASSESSMENTS
Published in Harvard journal of law & technology (22-09-2021)“…Scholars and advocates have proposed algorithmic impact assessments ("AIAs") as a regulatory strategy for addressing and correcting algorithmic harms. An…”
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The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
Published 10-12-2019“…Counterfactual explanations are gaining prominence within technical, legal, and business circles as a way to explain the decisions of a machine learning model…”
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The Fallacy of AI Functionality
Published 01-07-2022“…2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22) Deployed AI systems often do not work. They can be constructed haphazardly,…”
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