Briana vecchione
I’m a Technical Researcher at Data & Society Research Institute's Algorithmic Impacts Lab (AIMLab), focusing on auditing and accountability in algorithmic systems—particularly at the intersection of social justice, participatory design, and policy. Recently, I’ve been interested in the intersection of large language models, psychology, mental health, and the limitations of using LLMs to contribute to knowledge production. I hold a Ph.D. from the Department of Computing and Information Science at Cornell University. My work has been supported by Google, Facebook, Microsoft, the National Science Foundation, the MacArthur Foundation, the Mozilla Foundation, and the Notre Dame-IBM Tech Ethics Lab.
For more details, see my Google Scholar.
briana [at] datasociety [dot] net
publications
AI is Mental: Evaluating the Role of LLMs in Supporting Mental Health and Wellbeing
Briana Vecchione, Ranjit Singh
[in submission]
Red-Teaming in the Public Interest
Ranjit Singh, Borhane Blili-Hamelin, Carol Anderson, Emnet Tafesse, Briana Vecchione, Beth Duckles, Jacob Metcalf
Data & Society 2025
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji
CHI 2025
Algorithm auditing: The Broken Bus on the Road to Algorithm Accountability
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji
SATML 2024
Auditing Work: Exploring the New York City algorithmic bias audit regime
Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait
FAccT 2024 - Best Paper Award
Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability
Lucas Wright, Roxana Muenster, Briana Vecchione, Tianyao Qu, Pika (Senhuang) CAI, Alan Smith, COMM/INFO 2450 Student Investigators, Jacob Metcalf, J. Nathan Matias
FAccT 2024
Navigating the Complexities of Algorithmic Auditing: Challenges and Considerations
Briana Vecchione
Cornell University 2023
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
Briana Vecchione, Solon Barocas, Karen Levy
EAAMO 2021
view talk
Datasheets for Datasets
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford
Communications of the ACM 2021 - Short version appeared at FAAcT 2018
Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione and Benjamin Carterette
SIGIR 2020
select talks , panels, & workshops
Mind, and Machine, and Me: Mental Health Chatbots and Techno-selfhood
Society for Social Studies of Science (4S). September 2025.
Briana Vecchione, Livia Garofalo, Emnet TafesseMind, and Machine, and Me: Mental Health Chatbots and Techno-selfhood
STS Italia: "Technoscience for Good". June 2025.
Briana Vecchione, Livia Garofalo, Emnet TafesseMicrosoft Research: Fairness, Accountability, Transparency & Ethics in AI (FATE)
New York, NY. February 2025.
Red Teaming in the Public InterestASAP/15: The Association for the Study of the Arts of the Present
New York, NY. October 2024.
Algorithms and the Occult, or Chatbots are the New Psychic Friends Network
University of Pennsylvania: CIS7000 Algorithmic Justice
[Remote]. March 2024.
Algorithmic Auditing: Challenges and ConsiderationsUC Berkeley: MBA295T/EWMBA 295T
[Remote]. January 2024.
Discrimination and Bias in Online MarketplacesColumbia University: Computer Programming for Beginners: Coding in Python
New York, NY. July 2023.An Introduction to AI Bias, Auditing, & AccountabilityNotre Dame-IBM Technology Ethics Lab: Auditing AI Workshop
Notre Dame, IN. June 2023.CSCW 2022: Who Has an Interest in “Public Interest Technology”? Critical Questions for Working with Local Governments & Impacted Communities
Remote. November 2022.Mozilla All Hands. Trustworthy AI "Big Ideas": Navigating the Algorithm Audit Tooling Landscape.
Waikiki, HI. September 2022.Arize: Observe Summit. Breaking Down Barriers: How Women In AI Creates a More Equitable Technological Future.
[Remote] March 2022.Cornell Information Science Seminar
[Remote] November 2021.2021 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
[Remote] October 2021.2021 CRA-WP Grad Cohort for Women
[Remote] April 2021.Aspen Digital Data Stewardship for Good 2021 Roundtable
[Remote] April 2021.AI, Policy, and Practice Seminar
Ithaca, NY. November 2020.Algorithmic Auditing for Social JusticeFATES 2020: 2nd Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web
[Remote]. April 2020.ACM FAT* 2020 Doctoral Consortium
Barcelona, Spain. January 2020.Digital Lives: Perspectives on Ethics and AI
New York, NY. October 2019.Partnership on AI: ABOUT Machine Learning Workshop
New York, NY. April 2019.Computing Research Association URMD Graduate Cohort
Waikoloa, HI. March 2019.AI, Policy, and Practice Seminar
Ithaca, NY. September 2018.Datasheets for DatasetsAI Now: Data Genesis Working Group
New York, NY. January 2018.Data for Good Exchange
New York, NY. September 2017.
Building Open Data Dashboards for Hyper Local GovernmentACM Richard Tapia Celebration of Diversity in Computing
Boston, MA. February 2015.Self Balancing CitiBikesKnowledge Discovery and Data Mining at Bloomberg (KDD)
New York, NY. August 2014.Self Balancing CitiBikesMicrosoft Research DS3
New York, NY. August 2014.Self Balancing CitiBikes