Briana Vecchione

I'm currently a fourth-year PhD student in Information Science at Cornell University, where I'm honored to work with Solon Barocas and Karen Levy. My work is supported by a Facebook Fellowship and Google Women Techmakers scholarship.

In my research, I address issues of measurement and evaluation in sociotechnical systems, with particular attention to systemic issues of discrimination and evaluation and their implications for accountability and public policy. Lately, I've been particularly interested in exploring the processes involved in algorithmic auditing — more concretely, by applying learnings from the participatory nature of early discrimination audit studies to provide observations and insights when thinking about auditing in an algorithmic context.

I am an affiliate of the AI Policy and Practice initiative, Mechanism Design for Social Good, and Cornell Tech's Digital Life Initiative. I also serve on AI for Good's Council for Good, where I advise on issues related to workforce, diversity, and AI. In the past, I've spent some time at Microsoft and Spotify.

In my spare time, I do my best to make time for amateur photography, art, travel, and music.

Talks & Workshops


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
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