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Evaluating Inclusivity and Fairness of AI Recruitment Tools for Hiring People with Disabilities in the United Arab Emirates(UAE)

Author

Listed:
  • Ambreen Iftikhar
  • Suleiman Ibrahim Mohammad
  • Mohammad N. Alqudah
  • Ahmad Samed Al-Adwan
  • Asokan Vasudevan
  • Imad Ali
  • Mohd Farhan

Abstract

Introduction This research aims to explore the effectiveness and inclusivity of AI-powered recruitment tools in hiring people with disabilities within the United Arab Emirates. Such is the situation where AI integration into the arena of recruitment is increasingly rapid, while there are vital issues on the side of bias, accessibility, and fairness for applicants of diverse needs. Methods This study was a mixed-methods approach, examining sentiment analysis, emotion detection, and HR analytics of feedback from applicants with a disability, 415 in total. The research focused on scores referring to sentiment, the progression rate, and the outcome of the final hiring. Results The sentiment score varied significantly across disability types (p-value 0.05), hence never indicating any significant difference within the initial steps of the process. The final hiring stage showed significant differences in results with (p-value

Suggested Citation

Handle: RePEc:dbk:datame:v:4:y:2025:i::p:487:id:1056294dm2025487
DOI: 10.56294/dm2025487
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