AI and Intelligent Systems: Engineering, Medicine & Society(AIISEMS)

Faculty of Economic Sciences and Management of Sousse, Tunisia

Publications

• Research Article   
  The Adoption of AI in Recruitment Processes: Ethical, Social, and Bias Implications in Tunisia’s SME and Tech Startup Sector
  Author(s): Faycal Chehab*
  
  Purpose: The rapid adoption of AI-powered recruitment in emerging economies often occurs within contexts of institutional weakness and economic precarity, challenging Western-centric assumptions about algorithmic fairness. This study investigates how perceptions of algorithmic justice and platform transparency influence candidate trust and well-being in Tunisia, and whether chronic economic insecurity attenuates these psychological pathways. Design/Methodology/Approach: Drawing on Algorithmic Justice Theory (Colquitt, 2001) and the Job Demands– Resources (JD-R) model (Bakker & Demerouti, 2017), we propose a moderated mediation framework. We theorize economic precarity as a chronic demand that depletes the psychological resources necessary to benefit from fair algorithmic treatment. The model is tested using survey data from 420 Tun.. Read More»
  

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