RESPONSIBLE AI IN WORFORCE ANALYTICS: DEEP LEARNING FOR EMPLOYEE ENGAGEMENT, TALENT PREDICTION AND ETHICAL HR PRACTICES

Authors

  • Amarpali Ahiwale Author

Keywords:

Artificial Intelligence, Deep Learning, Workforce Analytics, Employee Engagement, Talent Prediction,,

Abstract

Artificial intelligence (AI) and deep learning are increasingly being used in Human Resource 
Management (HRM) to analyse workforce data. This helps companies predict their future talent needs, 
customize the employee experience, and boost engagement. However, using these technologies also 
brings up ethical issues concerning bias, fairness, transparency, and trust. 
This paper examines how deep learning in workforce analytics can both improve HR strategies and 
create ethical problems. It uses ideas from computer science, organizational psychology, and business 
ethics to offer a plan for adopting AI responsibly in HR. The study also suggests best practices, 
regulations, and future steps to ensure that AI-powered HR systems are both effective and focused on 
people. 

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Published

2025-09-02

How to Cite

RESPONSIBLE AI IN WORFORCE ANALYTICS: DEEP LEARNING FOR EMPLOYEE ENGAGEMENT, TALENT PREDICTION AND ETHICAL HR PRACTICES . (2025). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 3(3.1), 93-98. https://pimrj.org/index.php/pimrj/article/view/126