Algorithmic and behavioral biases in the adoption of Artificial Intelligence in work processes: organizational, ethical, and socio-technical implications

Éditeurs invités

• Zuzana Virglerova, Tomas Bata University in Zlín
• Nicola Capolupo, San Raffaele Roma University

Synthèse

The aim of this special issue is to explore how algorithmic and behavioral biases influence the adoption, use, and outcomes of Artificial Intelligence (AI) in organizational settings. As AI systems increasingly shape decision-making, human resource management, operational processes, and strategic planning, understanding how biases emerge and interact within socio-technical systems has become a critical scholarly and societal challenge.

The special issue seeks to integrate interdisciplinary perspectives to explain how biases arise both from AI systems and from the human and organizational decisions that design, implement, interpret, and govern them. It offers an original contribution by bridging two research streams that are often treated separately: algorithmic biases embedded in data, models, and computational architectures, and behavioral biases rooted in human cognition, organizational routines, and institutional structures. Building on socio-technical systems theory, AI is conceived as co-constructed by technologies, individuals, and the environments.

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Thèmes proposés

• Algorithmic biases in AI systems applied to HR and decision-making processes
• Cognitive and behavioral biases of users interacting with AI systems
• Governance, ethics, and regulation of AI in organizations
• Methodologies for identifying and mitigating socio-technical biases in work processes
• Organizational and social impacts of AI on equity, environment, inclusion, and job quality