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Research & Programming

Reimagining AI for Environmental Justice and Creativity

About Resources Past Events Project Lead

Overview

With the advent of AI-powered misinformation, disinformation, and systemic bias and discrimination, trust in the use of AI by governments is low. For marginalized communities particularly, the social, political, and cultural implications of uncritically adopting AI are felt immediately and on an everyday basis.

However, trust in government and technology is crucial for a functional and just democracy. By looking at how local governments are thinking about technology policy and creating opportunities for civic engagement in the face of uncertainty, we can learn about ways to build—or undermine—trust.  

This two-day event explores the dynamics of power and trust, in technology and governments, from perspectives not always included in the deployment or regulation of policies centered on artificial intelligence. A group of multidisciplinary scholars, policymakers, activists, and practitioners looks at the possibilities for reimagining (or containing) AI from the margins, questioning the narrative of its inevitability, exploring what public-interest AI systems might look like, and if such systems are even possible. 

This conference was co-organized by Jess Reia, MC Forelle, and Yingchong Wang and co-sponsored by UVA’s Digital Technology for Democracy Lab, Environmental Institute, and School of Data Science.

The Role of AI in Environmental Justice

AI & the Environment

When AI Meets Cultural Policy, Heritage, and Creativity

AI & the Environment

View Collection of Essays >>

Past Events

  • AI & the Environment

The Role of AI in Environmental Justice

Thursday, October 24, 2024 • 12:00 PM – 1:15 PM EST

Bond House, 600 Brandon Avenue, and Online

  • AI & the Environment

When AI Meets Cultural Policy, Heritage, and Creativity

Wednesday, October 23, 2024 • 12:00 PM – 1:15 PM EST

Bond House, 600 Brandon Avenue, and Online

See All

Project Lead

Faculty Co-Lead

Jess Reia

Affiliations

Assistant Professor of Data Science, School of Data Science

Bio

Jess Reia is an assistant professor of data science and a faculty co-lead at the Digital Technology for Democracy Lab at the University of Virginia (UVA). In 2025, Reia was selected as an Andrew Carnegie Fellow by the Carnegie Corporation of New York. They are also a visiting scholar at Fudan University in Shanghai and a non-resident fellow at the Center for Democracy & Technology in Washington, D.C. Reia works primarily on topics of technology policy and human rights transnationally, being interested in the untold stories in our datasets, citizen-generated data and how artificial intelligence is transforming the way we think about evidence and representation.

A policymaker by training, Reia's research and advocacy agenda has focused on building collaborations with government and civil society organizations in Brazil, Canada, and the U.S. for over a decade, resulting in numerous resources to support policy- and decision-making and academic publications in four languages. Reia is also a public scholar whose writing and interviews were featured in various outlets, including Estadão, Le Devoir and BBC. Before joining UVA, they were appointed Mellon postdoctoral researcher at McGill University, studying the impact of smart-washing and datafication in nocturnal urban spaces and their communities. Reia held a two-year mandate as a member of MTL 24/24's first Night Council in Montreal. Prior to that, they worked at the Center for Technology & Society at FGV Law School in Rio de Janeiro.

Reia's latest book, "Urban Music Governance: What Busking Can Teach Us about Data, Policy and Our Cities" (Intellect/University of Chicago Press, 2025), explores what happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands. A transnational exploration of often unseen aspects of urban governance, it examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society.

Currently, Reia teaches courses for future data scientists on ethics, governance, and policy. Past courses have included a focus on urban data, digital rights, intellectual property, and research methods.

Full Profile

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