Theorising the Impacts of Generative Artificial Intelligence

Éditeurs invités

• Robert Davison, City University of Hong Kong
• Antonio Díaz Andrade, University of Agder
• Manuel Trenz, University of Gottingen

Synthèse

This special issue seeks critical research on the diverse impacts of Generative Artificial Intelligence through a sociotechnical lens. While GAI has generated widespread enthusiasm across academia, business, and society, much existing work lacks rigorous theoretical grounding and empirical analysis. The issue aims to publish research that examines both positive and negative consequences of GAI, particularly its darker implications for individuals, organizations, society, and the environment.

The editors invite theoretically innovative and methodologically rigorous work based on primary data, including ethnographic fieldwork, critical case studies, grounded theory, and action research. Submissions must contribute new theoretical insights about GAI's distinctive characteristics and sociotechnical dimensions, avoiding purely conceptual or opinion-based papers. Interdisciplinary perspectives are welcome, provided they demonstrate empirical engagement with real-world GAI applications and their consequences across human, technological, organizational, and environmental dimensions.

Thèmes proposés

• Human-GAI Relationships and Collaboration (e.g., Anthropomorphism in AI and human identity; Dehumanized interactions; Relationships with robots or chatbots; Power dynamics in human-AI collaboration and hegemonic interactions)
• Human Agency, Creativity, and Cognition (e.g., Erosion of human agency and GAI dependency; Challenges to human creativity in the era of AI-driven pattern generation; Mediocrity as a new norm, and the struggle for excellence; Cognitive enhancement, deterioration, and dependence in GAI-mediated environments)
• Social Inequalities and Marginalization (e.g., Impacts on marginalized populations and inequality by design; Educational equity and impact on learning; Global and cultural distortions and digital exclusion; Data colonialism and global inequalities)
• Work and Organizational Shifts (e.g., Transformation, decline and disappearance of professions; Deskilling and disempowering of individuals; Disruptions to work, routines, and shifts in organizational dynamics)
• Governance and Policy (e.g., Implications of strong or absent governance frameworks; Regulation and policy development by governments and organizations; National policies and their differences; Environmental and societal trade-offs)
• Disinformation and Trust (Development & dissemination of disinformation, misinformation, and conspiracy theories; Erosion of trust in human and organizational communication)
• Fundamental Risks (e.g., Systemic risk, resilience, and dependencies in AI-enhanced infrastructure; Vulnerabilities and data poisoning; Misuse of intellectual property; Warfare automation)

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