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Gender Inclusion in the Workplace Using AI for Sustainable Management

In: Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)

Author

Listed:
  • Sidhanth Ashok

    (Independent Researcher)

  • T. S. Saranya

    (Head of the Institute, AIBHAS, Amity University)

  • Sandeep Kumar Gupta

    (Mohan Babu University)

Abstract

Workplace gender inclusion is a fundamental issue in developing and enhancing workplace diversity equity and inclusion (DEI) across industries. Due to the prevalence of AI systems in Human Resource, many AI driven research initiatives have been pushing for the cause of gender equality in organizational settings. This literature review paper relies on thematic analysis, and highlights relevant themes related to AI technology by collecting and analyzing 20 relevant articles. The review highlights how organizational settings rely on AI for efficient recruitment processes and evaluation, and career advancement while minimizing gender discrimination and pushing for equality in the hiring process. The problem that arises in spite of AI making several Human Resource processes easier, algorithmic biases exist, and ethical considerations such as transparency must be taken into account. An AI powered workforce must look into ethical frameworks and consistent monitoring of AI systems. This review literature aims to highlight the measures that can be taken for gender inclusivity in organizational settings. The study contributes knowledge to executives, public officials and researchers who want to use AI for achieving equal workforce control and persistent gender inclusion policy development.

Suggested Citation

  • Sidhanth Ashok & T. S. Saranya & Sandeep Kumar Gupta, 2025. "Gender Inclusion in the Workplace Using AI for Sustainable Management," Advances in Economics, Business and Management Research, in: Preeti Sharma & Sweta Pareek & Sourav Banerjee (ed.), Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), pages 19-27, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-898-1_3
    DOI: 10.2991/978-94-6463-898-1_3
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