Artificial Intelligence: Ethical, Legal and Societal Implications (Part II)

Tuesday, 8 July 2025: 11:00-12:45
Location: SJES020 (Faculty of Legal, Economic, and Social Sciences (JES))
RC23 Sociology of Science and Technology (host committee)

Language: English

This session aims to provide a platform for debating the emerging implications of Artificial Intelligence (AI) in society. We seek to host a diverse range of contributions, including empirical and theoretical research, novel ideas, research in progress, and new projects. The focus will be on examining the multifaceted impacts of AI in the contemporary world, particularly its ethical, legal, and societal implications for science, technology development, and innovation processes across different countries, organizations, and cultural environments. We especially welcome research that addresses new challenges posed by AI, such as the intensification of inequality, exclusion, and the consolidation of power within oligopolistic structures.
Session Organizer:
Junmin WANG, University of Memphis, USA
Oral Presentations
The Environmental Benefits and Harms of AI: Preliminary Results from a Review Study
Nicki Lisa COLE, Know Center Research, Austria; Jeriek Paul VAN DEN ABEELE, Research Scientist, Norway; Bernhard GEIGER, Know Center Research GmbH, Austria
AI Progress and Transformation of Societies’ Everyday Life in the European Union and Central Asia: Comparative Sociological Analysis
Munavvarkhon MUKHITDINOVA, Institute for Advanced Studies and Statistical Research, Tashkent, Uzbekistan; Natalia TREGUBOVA, St. Petersburg State University, Russian Federation; Anastasia IVANOVA, St Petersburg State University, Russian Federation
Imagining Ageing in AI-Based Technologies for Long-Term Care – What Technology for Whom?
Victoria KONTRUS, VICESSE Research GmbH, Austria; Roger VON LAUFENBERG, Vienna Centre for Societal Security, Austria
A Typological Approach to Analyzing AI Integration in Public Administration
Juana TORRES-CIERPE, Inria, France
Professional Role Identity in the Age of Artificial Intelligence: An Example of the Automated Long-Term Care Case-Mix System
Hsiao-Mei JUAN, National Chung Cheng University, Taiwan
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