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

Authors

DOI:

https://doi.org/10.56294/dm2025487

Keywords:

AI-Driven Recruitment, Disability Inclusion, Sentiment Analysis, HR Analytics, Bias in AI

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). The applicants with cognitive disability expressed the highest sentiment sore while applicants with hearing impairment had the lowest, which indicated the varying adaptability of AI. The emotion analysis depicted a mix of positive and negative emotions. A few applicants liked technology and have trust in it, while others report fear. Clearly, the applicants, both disabled and non-disabled did not differ in their rate of progression (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 <0.05), where the proportionate number of disabled applicants was recorded to be lower than that of non-disabled applicants

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Published

2025-01-01

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Original

How to Cite

1.
Iftikhar A, Mohammad SI, N. Alqudah M, Samed Al-Adwan A, Vasudevan A, Ali I, et al. Evaluating Inclusivity and Fairness of AI Recruitment Tools for Hiring People with Disabilities in the United Arab Emirates(UAE). Data and Metadata [Internet]. 2025 Jan. 1 [cited 2024 Dec. 9];4:487. Available from: https://dm.ageditor.ar/index.php/dm/article/view/487