Briana Vecchione
I'm a graduating fifth-year Ph.D. Candidate in Information Science at Cornell University, where I'm honored to work with Karen Levy and Solon Barocas. My work is supported by a Facebook Fellowship, Google Women Techmakers scholarship, and a MacArthur Foundation grant.
In my research, I address issues of auditing and accountability in sociotechnical systems, their social justice roots, and potential public interest implications. Lately, I've been interested in applying learnings from the participatory nature of early social science audits to provide observations and insights when thinking about auditing in an algorithmic context. At the moment, I'm working with the Mozilla Foundation to explore the tools and resources auditors need in order to conduct successful algorithmic audits.
I am an affiliate of the AI Policy and Practice initiative, Mechanism Design for Social Good, and Cornell Tech's Digital Life Initiative. In the past, I've spent some time at Microsoft and Spotify.
Talks & Workshops
- 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.
Algorithmic Auditing for Social Justice - 2021 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
[Remote] October 2021.
Algorithmic Auditing for Social Justice - 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 Justice - FATES 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 Datasets - AI 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 Government - ACM Richard Tapia Celebration of Diversity in Computing
Boston, MA. February 2015.
Self Balancing CitiBikes - Knowledge Discovery and Data Mining at Bloomberg (KDD)
New York, NY. August 2014.
Self Balancing CitiBikes - Microsoft Research Data Science Summer School
New York, NY. August 2014.
Self Balancing CitiBikes
Publications
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
News
- Spotlighted for summer participation on Cornell Tech's PiTech Initiative.
- Participated in Cornell Tech's PiTech PhD Impact Fellowship, working with Robin Hood's Blue Ridge Labs to leverage research and technology for startup ventures.
- Participated in Princeton University's Summer 2021 Institute in Computational Social Science.
- Featured on Vary CSS, a site supporting diversity in computational social science.
- Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste featured in Projects to Know Newsletter.
- Received honorable mention for the 2020 Ford Foundation Predoctoral Fellowship.
- Featured in Cornell CIS: "Five Cornell CIS PhD Students Named 2020 Facebook Fellows".
- Awarded a 2020 Facebook Fellowship.
- Served as the web developer for Cornell Graduate Womxn in Science.
- Quoted in CreditCards.com feature: Sexism in the credit industry.
- Served as a mentor for the BAI Grad Mentoring Program.
- Spent the summer at Spotify Research on the algorithmic bias team.
- Awarded a 2019 Google Women Techmakers scholarship.