Faculty

Institution

Unit

Venue

Andrew D. Selbst

Professor of Law

University of Connecticut

Affiliations

School of Law

Andrew D. Selbst is currently serving as a School Of Law Professor of Law at University of Connecticut.

Honors

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Experiences

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Education

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Andrew D. Selbst

University of Connecticut

Professor of Law

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artificial intelligence computer science law social sciences fairness cognitive science jurisprudence machine learning big data cybernetics computational intelligence algorithmic fairness accountability interpretability abstraction (computer science) explainable ai disparate impact impact assessment ethics of artificial intelligence human-ai interaction responsible ai ai functionality intuitive appeal explainable machines big data policing algorithmic impact assessments institutional view principal reasons hidden assumptions counterfactual explanations government regulation government transparency public integrity data privacy technology law policy analysis information policy public law algorithmic governmentality regulation public policy digital justice criminal justice

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons. ACM eBooks (2023)

Manish Raghavan

counterfactual explanationshidden assumptionsbehavioral sciencesprincipal reasons

The Fallacy of AI Functionality. 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)

Inioluwa Deborah RajiI. Elizabeth KumarAaron HorowitzAndrew Selbst

computer scienceaccountabilityfairnessalgorithmic fairnessai functionalityartificial intelligence

An Institutional View of Algorithmic Impact Assessments. SSRN Electronic Journal (2021)

Andrew D. Selbst

impact assessmentalgorithmic impact assessmentsinstitutional view

Fairness and Abstraction in Sociotechnical Systems. (2019)

Andrew D. SelbstDanah BoydSorelle A. FriedlerSuresh VenkatasubramanianJanet Vertesi

fairnesssocial sciences

Disparate Impact in Big Data Policing. Georgia law review (2018)

Andrew D. Selbst

disparate impactbig data policingbig datalaw

The Intuitive Appeal of Explainable Machines. Fordham law review (2018)

Andrew D. SelbstSolon Barocas

intuitive appealcomputer sciencecomputational intelligencemachine learninglawcognitive scienceexplainable aiinterpretabilityartificial intelligencejurisprudenceexplainable machinesabstraction (computer science)cybernetics

Negligence and AI’S Human Users. SSRN Electronic Journal

Andrew D. Selbst

human-ai interactionartificial intelligencesocial sciencesethics of artificial intelligenceresponsible ai

1
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Andrew D. Selbst

Professor of Law

University of Connecticut

Affiliations

School of Law

Andrew D. Selbst is currently serving as a School Of Law Professor of Law at University of Connecticut.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Andrew D. Selbst

University of Connecticut

Professor of Law

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons. ACM eBooks (2023)

Manish Raghavan

counterfactual explanationshidden assumptionsbehavioral sciencesprincipal reasons

The Fallacy of AI Functionality. 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)

Inioluwa Deborah RajiI. Elizabeth KumarAaron HorowitzAndrew Selbst

computer scienceaccountabilityfairnessalgorithmic fairnessai functionalityartificial intelligence

An Institutional View of Algorithmic Impact Assessments. SSRN Electronic Journal (2021)

Andrew D. Selbst

impact assessmentalgorithmic impact assessmentsinstitutional view

Fairness and Abstraction in Sociotechnical Systems. (2019)

Andrew D. SelbstDanah BoydSorelle A. FriedlerSuresh VenkatasubramanianJanet Vertesi

fairnesssocial sciences

Disparate Impact in Big Data Policing. Georgia law review (2018)

Andrew D. Selbst

disparate impactbig data policingbig datalaw

The Intuitive Appeal of Explainable Machines. Fordham law review (2018)

Andrew D. SelbstSolon Barocas

Negligence and AI’S Human Users. SSRN Electronic Journal

Andrew D. Selbst

human-ai interactionartificial intelligencesocial sciencesethics of artificial intelligenceresponsible ai

1
10 / page

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