Alvaro Bedoya is the Founding Director of the Center on Privacy & Technology at Georgetown Law, where he is also a Visiting Professor of Law. He established the Privacy Center in 2014 with a focus on exposing and countering the “the color of surveillance” – surveillance’s disparate impact on people of color, immigrants, and other historically marginalized people. In 2016, he co-authored The Perpetual Line-Up: Unregulated Police Face Recognition in America, a year-long investigation that revealed that most American adults are enrolled in a police face recognition network, and that vendor companies were doing little to address the race and gender bias endemic to face scanning software. Alvaro is also the creator of the Immigrant Surveillance Working Group, a coalition of digital and immigrant rights organizations. He has testified before Congress and state legislatures, and his writing has appeared in The New York Times, The Washington Post, The Atlantic and Slate .

Catherine D’Ignazio is a scholar, artist/designer and hacker mama who focuses on feminist technology, data literacy and civic engagement. She has run reproductive justice hackathons, designed global news recommendation systems, created talking and tweeting water quality sculptures, and led walking data visualizations to envision the future of sea level rise. With Rahul Bhargava, she built the platform Databasic.io, a suite of tools and activities to introduce newcomers to data science. Her 2020 book from MIT Press, Data Feminism, co-authored with Lauren Klein, charts a course for more ethical and empowering data science practices. Her research at the intersection of technology, design & social justice has been published in the Journal of Peer Production, the Journal of Community Informatics, and the proceedings of Human Factors in Computing Systems (ACM SIGCHI). Her art and design projects have won awards from the Tanne Foundation, Turbulence.org and the Knight Foundation and exhibited at the Venice Biennial and the ICA Boston. D’Ignazio is an Assistant Professor of Urban Science and Planning in the Department of Urban Studies and Planning at MIT. She is also Director of the Data + Feminism Lab which uses data and computational methods to work towards gender and racial equity, particularly in relation to space and place.

Seeta Peña Gangadharan is Associate Professor in the Department of Media and Communications at the London School of Economics and Political Science. Her work focuses on inclusion, exclusion, and marginalization, as well as questions around democracy, social justice, and technological governance. She currently co-leads two projects: Our Data Bodies, which examines the impact of data collection and data-driven technologies on members of marginalized communities in the United States, and Justice, Equity, and Technology, which explores the impacts of data-driven technologies and infrastructures on European civil society. She is also a visiting scholar in the School of Media Studies at The New School, Affiliated Fellow of Yale Law School’s Information Society Project, and Affiliate Fellow of Data & Society Research Institute.

Pratyusha Ria Kalluri is a PhD student at the Stanford AI Lab, aspiring to do AI work and community work that are collective and anti-oppressive.

Mehtab Khan is a doctoral candidate at the University of California, Berkeley, School of Law. Her research lies at the intersection of intellectual property, data governance, and AI. She was a Research Fellow at Creative Commons where she did research on the intersection between Traditional Knowledge and Creative Commons. She is also a Fellow at the Center for Technology, Society and Policy, and a Research Grantee at the Center for Long-Term Cybersecurity at UC Berkeley. She is working on an interdisciplinary project on the use of automated job descriptions and emotion recognition in hiring. This project adds to conversations about the implications of AI technologies that are developed using open access and open licensed data. Before joining the doctoral program at Berkeley Law, Mehtab worked as a lawyer in Pakistan, the United States, and Malaysia.

Liz O’Sullivan is a cofounder and VP of Responsible AI at Arthur, the AI monitoring company. She also serves as Technology Director for STOP (The Surveillance Technology Oversight Project), where she works on New York City and State policy to fight the technology that threatens our civil liberties, especially among marginalized communities. Previously, Liz managed Data Operations and labelling at computer vision company Clarifai, where she first came forward with ethical concerns over the application of AI into warfare. She is an active member of the Campaign to Stop Killer Robots, where she advocates on their behalf at the UN.

Tawana Petty is a mother, social justice organizer, youth advocate, poet and author. She is intricately involved in water rights advocacy, data and digital privacy rights education and racial justice and equity work. She is the National Organizing Director at Data for Black Lives, former director of the Data Justice Program at Detroit Community Technology Project, co-founder of Our Data Bodies, a convening member of the Detroit Digital Justice Coalition, an anti-racism facilitator with Detroit Equity Action Lab, a Digital Civil Society Lab fellow at the Stanford Center on Philanthropy and Civil Society, and director of Petty Propolis, a Black woman led artist incubator primarily focused on cultivating visionary resistance through poetry, literacy and literary workshops, anti-racism facilitation, and social justice initiatives.

Morgan Klaus Scheuerman is a PhD Student of Information Science at University of Colorado Boulder and a 2021 MSR Research Fellow. His research focuses on the intersection of technical infrastructure and marginalized identities. In particular, he examines how gender and race characteristics are embedded into algorithmic infrastructures and how those permeations influence the entire system. His recent work explores how gender and race classification in computer vision technologies excludes and endangers at-risk individuals.

Meredith Whittaker is the Minderoo Research Professor at NYU, and the Co-founder and Faculty Director of the AI Now Institute. Her work focuses on the social implications of artificial intelligence and the tech industry responsible for it, with a particular emphasis on labor, political economy, and the power relationships between those who develop and deploy computational tech, and those subject to its use. As a long-time tech worker, she helped lead labor organizing efforts at Google, driven by the belief that worker power and collective action are necessary to ensure meaningful tech accountability.