kerostig | Tag : algorithmic fairness https://kerostig.org/tag/algorithmic-fairness/ Derniers appels à publications avec le tag 'algorithmic fairness'. Wed, 30 Sep 2026 23:01:56 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr kerostig | Tag : algorithmic fairness https://kerostig.org/public/favicon/android-chrome-96x96.png https://kerostig.org/tag/algorithmic-fairness/ Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs. <![CDATA[The Downsides of AI and Global Inequities: Why Good Governance Matters]]> https://kerostig.org/call/wiley-the-downsides-of-ai-and-global-inequities-why-good-governance-matters/ wiley-the-downsides-of-ai-and-global-inequities-why-good-governance-matters Sat, 29 Aug 2026 11:29:31 GMT

Yanto Chandra, City University of Hong Kong

Greta Nasi, Bocconi University

Jiasheng Zhang, Chinese University of Hong Kong

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.

Appel publié par Public Administration and Development. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

  • 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

Timeline

  • April 1, 2026: Call for Papers published
  • September 1, 2026: Hybrid (online and offline) workshop in Hong Kong
  • November 1, 2026: Online workshop or in-person workshop in Italy
  • January 1, 2027: Full papers submitted
  • April 1, 2027: Peer reviews completed
  • October 1, 2027: All resubmissions completed
  • December 1, 2027: Final reviews completed
  • March 1, 2028: Final publication of all articles
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