Faculty

Institution

Unit

Venue

Solon Barocas

Senior Principal Researcher Adjunct Associate Professor

New York University

Affiliations

School of Law

Solon Barocas is currently serving as a School Of Law Senior Principal Researcher Adjunct Associate Professor at New York University.

Honors

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Experiences

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Education

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Solon Barocas

New York University

Senior Principal Researcher Adjunct Associate Professor

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data science computer science fairness artificial intelligence algorithmic bias bias social sciences algorithmic fairness data privacy big data decision science disparate impact technology law social choice algorithmic governmentality technology social computing information policy social science research research ethics bias detection human-computer interaction online information scientific data automated reasoning social simulation experimental social psychology social media social identity gender diversity social informatics accountability computational sociology candidate selection text-to-image retrieval algorithmic hiring public health ethics health information science consumer research responsible data management healthcare big data explainable ai explanation-based learning plausible reasoning causal reasoning science ethics information ethics trade-off analysis research evaluation research design systematic literature studies real-world deployment model deployment continuous deployment deployment strategy deployment scenario user-generated content digital ethics human-centered computing alternative sexuality sexual privacy intuitive appeal computational research problem formulation hidden assumptions employment assessment validation procedures workplace discrimination uber platform consumer‐sourced rating systems disaggregated evaluations ai systems systematic literature review automated alt text alt text addressing bias inference responsible ai privacy implications machine learning automated decision-making trustworthy ai fair data principle

Notable Scholarly Works

Notable Federal Grants

Collaborators

Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff. (2025)

Sophie GreenwoodKaren LevySolon BarocasHoda HeidariJon Kleinberg

machine intelligencesystems engineeringartificial societyhuman-ai interactionartificial intelligenceintelligent computinghumanartificial intelligence collaborationalgorithmic delegatesintelligent systemsintelligent agentscomputer sciencehuman robot interaction

Disclosure Without Engagement: An Empirical Review of Positionality Statements at Facct. (2025)

persuasioncommunicationinterpersonal communicationapplied social psychologypositionality statementsempirical reviewcommunication researchbusiness researchaccountingresearch ethicsnon-financial reportingconfidentiality

Distinguishing Predictive and Generative AI in Regulation. (2025)

machine intelligencepredictive learninggenerative systemsartificial intelligencegenerative aicomputational intelligencepredictive codingcognitive science

Supporting Industry Computing Researchers in Assessing, Articulating, and Addressing the Potential Negative Societal Impact of Their Work. Proceedings of the ACM on Human-Computer Interaction (2025)

ethics of technologytechnologymanagementcomputer-supported cooperative worktheir workmanagement information systemshuman-computer interactionresearch policybusinessinformation managementinformation technologypositive computingbusiness researchsociotechnical systemstechnology assessment

Understanding the Llm-Ification of Chi: Unpacking the Impact of Llms at Chi Through a Systematic Literature Review. (2025)

outcomes researchpsychological methodssystematic literature reviewimplementation researchperformance studiessystematic literature studiesqualitative researchpsychologyresearch designpsychological bulletin

What Constitutes a Less Discriminatory Algorithm?. (2025)

Benjamin LauferManish RaghavanSolon Barocas

algorithmic biasdisparitiesracial discriminationbiasdiscriminatory algorithmalgorithmic fairnessdisparate impactcomputer science

Dimensions of Generative AI Evaluation Design. arXiv (Cornell University) (2024)

Dow, P. AlexVaughan, Jennifer WortmanBarocas, SolonAtalla, ChadChouldechova, AlexandraWallach, Hanna

program evaluationartificial intelligencegenerative aimachine learningcomputer science

Evaluating Generative AI Systems is a Social Science Measurement Challenge. arXiv (Cornell University) (2024)

Wallach, HannaDesai, MeeraPangakis, NicholasCooper, A. FederWang, AngelinaBarocas, SolonChouldechova, AlexandraAtalla, ChadBlodgett, Su LinCorvi, EmilyDow, P. AlexGarcia-Gathright, JeanOlteanu, AlexandraReed, StefanieSheng, EmilyVann, DanVaughan, Jennifer WortmanVogel, MatthewWashington, HannahJacobs, Abigail Z.

program evaluationartificial intelligencesocial sciencesgenerative aigenerative ai systemsmachine learning

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Jared KatzmanAngelina WangMorgan ScheuermanSu Lin BlodgettKristen LairdHanna WallachSolon Barocas

representational harmsneuroscienceartificial intelligencecomputational intelligence

Disentangling the Components of Ethical Research in Machine Learning. 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)

Carolyn AshurstSolon BarocasRosie CampbellDeborah Raji

ethicsethical researchaccountabilityresearch ethicsmachine learningbehavioral sciences

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Solon Barocas

Senior Principal Researcher Adjunct Associate Professor

New York University

Affiliations

School of Law

Solon Barocas is currently serving as a School Of Law Senior Principal Researcher Adjunct Associate Professor at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Solon Barocas

New York University

Senior Principal Researcher Adjunct Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff. (2025)

Sophie GreenwoodKaren LevySolon BarocasHoda HeidariJon Kleinberg

Disclosure Without Engagement: An Empirical Review of Positionality Statements at Facct. (2025)

Distinguishing Predictive and Generative AI in Regulation. (2025)

machine intelligencepredictive learninggenerative systemsartificial intelligencegenerative aicomputational intelligencepredictive codingcognitive science

Understanding the Llm-Ification of Chi: Unpacking the Impact of Llms at Chi Through a Systematic Literature Review. (2025)

What Constitutes a Less Discriminatory Algorithm?. (2025)

Benjamin LauferManish RaghavanSolon Barocas

algorithmic biasdisparitiesracial discriminationbiasdiscriminatory algorithmalgorithmic fairnessdisparate impactcomputer science

Dimensions of Generative AI Evaluation Design. arXiv (Cornell University) (2024)

Dow, P. AlexVaughan, Jennifer WortmanBarocas, SolonAtalla, ChadChouldechova, AlexandraWallach, Hanna

program evaluationartificial intelligencegenerative aimachine learningcomputer science

Evaluating Generative AI Systems is a Social Science Measurement Challenge. arXiv (Cornell University) (2024)

program evaluationartificial intelligencesocial sciencesgenerative aigenerative ai systemsmachine learning

Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. Proceedings of the AAAI Conference on Artificial Intelligence (2023)

Jared KatzmanAngelina WangMorgan ScheuermanSu Lin BlodgettKristen LairdHanna WallachSolon Barocas

representational harmsneuroscienceartificial intelligencecomputational intelligence

Disentangling the Components of Ethical Research in Machine Learning. 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)

Carolyn AshurstSolon BarocasRosie CampbellDeborah Raji

ethicsethical researchaccountabilityresearch ethicsmachine learningbehavioral sciences

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