Advances in Consumer Research
Issue 2 : 139-149
Original Article
Leveraging AI for Inclusion of Gender Non-Conforming Employees at The Workplace
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1
Research Scholar, S P Jain School of Global Management, Mumbai, Maharashtra, India
2
Associate Professor, S P Jain School of Global Management, Singapore
3
Sr. Manager - Industry Interface Projects, S P Jain School of Global Management, Dubai, UAE.
Abstract

Gender non-conforming (GNC) employees face unique challenges, including bias, lack of representation, and inadequate workplace policies. As workplaces strive to foster diversity, equity, and inclusion (DEI), it is imperative to design policies and interventions based on industry best practices so that perpetuation of harmful biases against marginalised groups such as GNC individuals is curbed. This study examines current trends in application of artificial intelligence (AI) in DEI – AI’s role in eliminating bias, challenges, and opportunities in creating inclusive environments for GNC individuals in organisations. A literature review of scholarly articles, industry reports and grey literature was done to examine how organisations can eliminate bias in their talent management processes by harnessing the power of AI. The study finds that despite its potential, use of AI technology in DEI initiatives faces serious challenges due to bias in AI algorithms, flawed training datasets, and lack of gender diversity in AI developer teams. Although AI can enhance gender DEI, it can also perpetuate systemic inequities. This makes adoption of AI tools for DEI in organisations potentially more harmful to the prospects of inclusion of GNC individuals. Addressing these challenges is essential for ensuring that technological advancements in AI truly benefit all and remain aligned with the inclusionary goals of gender DEI. AI offers transformative potential and can play a pivotal role in shaping the future of DEI. AI's future in gender equity depends on collaboration among policymakers, technologists, industry and civil society to ensure inclusive and sustainable progress. However, its implementation must be carefully managed to avoid exacerbating inequalities. Stakeholders must prioritize equity and ethics in AI development to harness its full potential for achieving gender equality, which in turn will also ensure equity and inclusion for GNC employees at the workplace

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