Human-Centric AI and Employment Equity: Building Fairness into the Future of Work

Abstract: As artificial intelligence increasingly shapes recruitment, promotion, and performance evaluation decisions, questions of fairness and employment equity have moved to the center of organizational concern. This article examines how human-centric approaches to AI implementation influence perceptions of fairness in the workplace, drawing on recent empirical evidence and organizational practice. The analysis reveals that perceptions of AI fairness are mediated significantly by whether employees view AI systems as transparent, ethical, and designed to augment rather than replace human capability. Employee readiness for upskilling and positive societal narratives about AI's employment impact both contribute to fairness perceptions, but their effects are substantially amplified when filtered through human-centric design principles. Organizations that embed fairness-by-design, invest in inclusive reskilling ecosystems, and maintain transparent algorithmic governance are better positioned to realize AI's productivity benefits while sustaining workforce trust and equity. The article offers evidence-based strategies spanning communication, procedural justice, capability building, and governance frameworks, illustrated through organizational examples across industries. It concludes with a forward-looking discussion on recalibrating psychological contracts, distributing leadership in AI oversight, and building continuous learning cultures that support long-term workforce resilience in an AI-augmented economy.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.