Briana Vecchione

I'm a Technical Researcher at Data & Society's Algorithmic Impacts Lab (AIMLab). My work addresses issues of auditing and accountability in algorithmic systems, their social justice and participatory roots, and their policy implications. My work has been supported by a Facebook Fellowship, MacArthur Foundation grant, Mozilla Foundation grant, Notre Dame-IBM Tech Ethics Lab grant, and a Google Women Techmakers scholarship. In the past, I've also spent some time at Microsoft, Spotify, and the Mozilla Foundation.

I recently finished my Ph.D. from the department of Computing and Information Science at Cornell University, where I was honored to work with Karen Levy and Solon Barocas. My dissertation addresses some of the normative and practical challenges of doing audits thoughtfully and effectively — specifically, by identifying what audits can and can not demonstrate, the difficulties of applying methods to unique use cases, and the tools and resources that can help support auditors in conducting thorough and consequential evaluations.

During my spare time, I offer content creation consulting services and create art dedicated to the artistic expression of mental health. I'm always looking for collaborators to work on related academic and artistic projects with, so feel free to reach out!

Publications
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Victor Ojewale, Ryan Steed, Briana Vecchione, Abeba Birhane, Inioluwa Deborah Raji

Algorithm auditing: The Broken Bus on the Road to Algorithm Accountability
Forthcoming in SATML
Abeba Birhane, Ryan Steed, Victor Ojewale, Briana Vecchione, Inioluwa Deborah Raji

Auditing Work: Exploring the New York City algorithmic bias audit regime
Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait

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

Navigating the Complexities of Algorithmic Auditing: Challenges and Considerations
Cornell University: Department of Computing and Information Science
Briana Vecchione

Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
EAAMO 2021
Briana Vecchione, Solon Barocas, Karen Levy
view talk

Datasheets for Datasets
Communications of the ACM 2021
Short version appeared at FATML 2018
Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford

Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
SIGIR 2020
Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione and Benjamin Carterette

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