2025, Vol. 6, Special Issue 2
Bridging bias gaps: Leveraging artificial intelligence for fairness, diversity, and inclusion in various domains
Author(s): Suma S, Latha N and Bindu Shree D
Abstract: This study investigates the ethical utilization of artificial intelligence (AI) in hiring in order to foster diversity, lessen bias, and facilitate long-term workforce planning. The study describes how AI-assisted hiring, specifically with software like HireVue, X0PA AI, and Pymetrics, can lessen gender bias and improve inclusivity for underrepresented groups after conducting a thorough literature review. The research highlights the ethical pitfalls of biased data and transparency as well as the function of competency models, machine learning, and predictive analytics in ensuring fair hiring practices. The research suggests that effective digital leadership, inclusive design, and the integration of emotional intelligence are necessary for successful implementation. Based on the study, hiring ethical AI candidates can greatly advance a more equitable and inclusive workplace if it is guided by justice and accountability.
DOI: 10.22271/27084515.2025.v6.i2Sc.697
Pages: 223-226 | Views: 128 | Downloads: 35
Download Full Article: Click Here
How to cite this article:
Suma S, Latha N, Bindu Shree D. Bridging bias gaps: Leveraging artificial intelligence for fairness, diversity, and inclusion in various domains. Asian J Manage Commerce 2025;6(2S):223-226. DOI: 10.22271/27084515.2025.v6.i2Sc.697
Other Journals