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

IntroductionThis 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. MethodsThis 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. ResultsThe 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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Publication Details

Journal
Data & Metadata
Published
2024-11-11
DOI
https://doi.org/10.56294/dm2025487
Citations
47
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
16.33

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article

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

Imad Ali, Asokan Vasudevan, Sulieman Ibraheem Shelash Al-Hawary, Ambreen Iftikhar et al.
47 citations
Data & Metadata
Organizational and Employee Performance
16.33
article

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

Imad Ali, Asokan Vasudevan, Sulieman Ibraheem Shelash Al-Hawary, Ambreen Iftikhar, Mohd Farhan, Ahmad Samed Al‐Adwan, Mohammad Alqudah
article en
47 citations

Abstract

IntroductionThis 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. MethodsThis 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. ResultsThe 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

Data & MetadataVol. 4
Al-Ahliyya Amman University (JO), Lovely Professional University (IN), INTI International University (MY), Zarqa University (JO), IMS Unison University (IN), Petra University (JO)
Zarqa University
Quality Education
Openalex Percentile: Top 1%
Organizational and Employee Performance
16.33
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