https://kerostig.org/tag/algorithmic-fairness/ Derniers appels à publications avec le tag 'algorithmic fairness'. Mon, 05 Oct 2026 10:15:16 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr 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. https://kerostig.org/call/wiley-eneser-2026-artificial-intelligence-for-recruitment-and-selection-opportunities-challenges-and-human-impact/ wiley-eneser-2026-artificial-intelligence-for-recruitment-and-selection-opportunities-challenges-and-human-impact Sat, 03 Oct 2026 10:58:51 GMT

Michela Cortini, University G. d'Annunzio of Chieti – Pescara

Teresa Galanti, University G. d'Annunzio of Chieti – Pescara

Marco Giovanni Mariani, University of Bologna

This special issue examines how artificial intelligence is transforming recruitment and selection practices in organizations. While AI technologies such as automated screening, video interview analytics, and generative AI tools offer efficiency gains, they simultaneously raise critical concerns regarding fairness, transparency, accountability, and ethics. The collection seeks contributions that explore both the opportunities and challenges of AI-mediated selection from multiple perspectives.

The special issue invites theoretical, empirical, methodological, and review contributions addressing the human-AI interface in recruitment and selection. Research should consider how AI affects applicants' and recruiters' experiences, perceptions of procedural justice, and organizational attractiveness. The editors particularly welcome work bridging theory and practice to help organizations implement AI-enabled selection responsibly and effectively.

Appel publié par International Journal of Selection and Assessment. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Applicants' and recruiters' motivational and emotional reactions to AI
• Algorithmic decision-making and perceptions of fairness, trust, and justice
• Transparency, explainability, and human oversight in selection
• Human-AI collaboration in personnel selection
• AI-enabled game-based and adaptive assessment methods
• Bias mitigation and diversity enhancement in AI recruitment
• Ethical, legal, and regulatory perspectives on AI in hiring
• Motivational theories in AI-mediated selection
• Impact of AI on recruiters' professional identity and autonomy
• Generative AI in employer branding and recruitment marketing
• Methodological innovations for studying AI-human interaction
• AI influence on candidate experience and authenticity
• Development and validation of AI-supported assessment tools

Timeline

• October 20, 2026: Initial manuscript submission period begins
• January 31, 2027: Initial manuscript submission period ends
• May 1, 2027: First round of reviews ends; revision and resubmission period begins
• August 1, 2027: Revision and resubmission period ends; second round of reviews begins
• October 1, 2027: Second round of reviews ends
• January 15, 2028: Final submissions

]]> 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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