Date: TBD

Time: TBD

CFP 17 - Regular: Algorithmic Injustices: Effect of AI on Vulnerable (Marginalized) Communities
Room: TBD

Sponsors: Crime and Justice
Critical Race and Ethnic Study
Environment and Technology

Organizers: Miltonette Olivia Craig, Sam Houston State University
Marko Salvaggio, Tulane University

Presider: Marko Salvaggio, Tulane University

Description: 

This session explores how AI technologies affect marginalized communities and the environment. Contributions may examine how algorithmic bias emerges in the criminal legal system—such as in predictive policing, crime risk assessments, and surveillance monitoring—as well as in environmental injustices, including biased resource management and inadequate allocation of environmental resources in low-income areas. Drawing on sociological theory, social research methodologies, and case studies, papers analyze the connections between AI technologies, marginalized groups, and environmental issues while proposing solutions for algorithmic accountability.

Papers:

“(Re)assembling Algorithmic Resistance: An Integrative Review of Research-Machines,” Thomas Zenkl, University of Graz

“Algorithmic Fraud Detection as Digital Redlining,” Mahir Takak, University of Connecticut

“Data Center Development, Community Organizing, and the Perception of Environmental Harm,” Sophia Cimino, University of Delaware

“Lean Start-Up for Data Justice: An Ethnography into the Design of a Community Data Coalition Seeking to Ground Homelessness Policy,” Maxime Goulet-Langlois, McGill University

“Silence in the Summary: Algorithmic Memory and the Public Imagination of the Montgomery Bus Boycott,” Joshua B. Blount, Tulane University

“Unsound Science in Policing Technology: Corporate Resistance to Social Movement Activism,” Gabriel Rojas, The University of Chicago

---