The Downsides of AI and Global Inequities: Why Good Governance Matters

Éditeurs invités

• Yanto Chandra, City University of Hong Kong
• Greta Nasi, Bocconi University
• Jiasheng Zhang, Chinese University of Hong Kong

Synthèse

This special issue examines the negative consequences of AI adoption in public organizations, particularly how algorithmic systems can amplify existing inequalities and undermine democratic governance. The call recognizes that while AI offers potential improvements to service delivery, the benefits are unevenly distributed globally, with marginalized populations facing heightened risks related to biased datasets, algorithmic discrimination, and erosion of accountability.

The special issue seeks theoretical and empirical scholarship reconsidering how public administration frameworks must evolve to address AI-related challenges. Scholars are invited to investigate systemic downsides including workforce displacement, economic inequality, and uneven global access to AI innovations, as well as how governance mechanisms can embed fairness, transparency, and inclusiveness to protect democratic values and serve the public interest.

Thèmes proposés

• North vs South disparities in AI access and innovation
• Exploitation of labor in AI data collection and platform economies
• Human rights implications of AI-driven decision-making
• Accessibility to public services
• The role of AI systems in perpetuating or challenging gender, racial, and cultural discrimination in public administration and welfare policies
• Experiments on how citizens respond to diversity, inclusion and equity issues in the increasing use of AI by governments
• Influence of dominant languages in AI training and its impact on linguistic diversity
• How minority languages of the world can maintain their survival in the age of AI
• Embedding fairness, transparency, and accountability into AI systems
• Legal and regulatory frameworks for responsible AI deployment