AI and Social Justice in LIS

Hengyi Fu, San Jose State University
Souvick Ghosh, San Jose State University
Darra Hofman, San Jose State University
Bharat Mehra, University of Alabama

Abstract

The rapid evolution of artificial intelligence (AI) continues to reshape how information is produced, shared, and accessed, raising urgent questions about equity, accountability, and fairness. This poster, inspired by the upcoming volume Assessing AI and Social Justice Intersections: Challenges and Opportunities, explores the intersection of AI and social justice, highlighting select forthcoming chapter content from real-world experiences and challenges, community-driven solutions, and varied theoretical and computational frameworks. It draws on diverse philosophical, methodological, ontological, and practice-based perspectives to critically evaluate AI's potential both as a mechanism for empowerment and force capable of exacerbating existing inequalities. The poster provides multidisciplinary and international coverage of ethical frameworks, resistance strategies, educational applications, data autonomy, cultural competence, and equity in information systems design. Algorithmic oppressions in information retrieval, equitable implementation of AI in libraries and educational institutions, culturally responsive AI practices, and community-driven AI initiatives are included.