Manuscript Number : SHISRRJ2472144

Optimizing Talent Acquisition Pipelines Using Explainable AI : A Review of Autonomous Screening Algorithms and Predictive Hiring Metrics in HRTech Systems

Authors(5) :-Immaculata Omemma Evans-Uzosike, Chinenye Gbemisola Okatta, Bisayo Oluwatosin Otokiti, Onyinye Gift Ejike, Omolola Temitope Kufile

This paper explores the integration of Explainable Artificial Intelligence (XAI) into modern talent acquisition pipelines, focusing on how autonomous screening algorithms and predictive hiring metrics are reshaping recruitment processes in HRTech systems. As organizations increasingly adopt AI-driven platforms to manage high-volume candidate evaluations, concerns surrounding algorithmic transparency, bias mitigation, and interpretability have become central to sustainable and ethical talent management. This review analyzes various XAI-enhanced models—such as interpretable decision trees, attention-based neural networks, and rule-based classifiers—used for candidate ranking, resume parsing, and behavioral prediction. The paper also examines the impact of predictive hiring metrics, including cultural fit scoring, turnover propensity, and performance forecasting, in optimizing time-to-hire and quality-of-hire metrics. Emphasis is placed on the regulatory, ethical, and technical implications of deploying black-box and glass-box AI in human capital systems. Drawing from recent HRTech innovations, this study proposes a conceptual framework for integrating XAI principles into end-to-end hiring workflows, supporting both operational efficiency and equitable outcomes.

Authors and Affiliations

Immaculata Omemma Evans-Uzosike
Independent Researcher, Abuja, Nigeria
Chinenye Gbemisola Okatta
Independent Researcher, Abuja, Nigeria
Bisayo Oluwatosin Otokiti
Department of Business and Entrepreneurship, Kwara State University
Onyinye Gift Ejike
The Velvet Expression, Nigeria
Omolola Temitope Kufile
Amazon Advertising, USA

Explainable AI (XAI), Talent Acquisition, Predictive Hiring Metrics, Autonomous Screening, HRTech Systems

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-05
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 114-133
Manuscript Number : SHISRRJ2472144
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Immaculata Omemma Evans-Uzosike, Chinenye Gbemisola Okatta, Bisayo Oluwatosin Otokiti, Onyinye Gift Ejike, Omolola Temitope Kufile, "Optimizing Talent Acquisition Pipelines Using Explainable AI : A Review of Autonomous Screening Algorithms and Predictive Hiring Metrics in HRTech Systems", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.114-133, March-April.2024
URL : https://shisrrj.com/SHISRRJ2472144

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