Advancing Workforce Fairness Through Human-Centered AI: Strategic Imperatives for Organizations in the Age of Algorithmic Decision-Making

Abstract: As artificial intelligence systems increasingly mediate employment decisions—from hiring and performance management to promotion and compensation—organizational fairness has become inseparable from algorithmic fairness. This article examines how human-centered AI design principles influence workforce perceptions of fairness and employment equity, drawing on empirical research and organizational practice. The analysis reveals that perceptions of AI fairness are substantially shaped by both employee readiness for digital transformation and societal narratives about AI's employment impact, with human-centric design principles serving as the critical mediating mechanism. Organizations that embed transparency, inclusivity, and explainability into AI systems while simultaneously investing in workforce development report higher trust levels and more positive fairness perceptions. The article synthesizes evidence across technology, financial services, healthcare, and manufacturing sectors to provide actionable guidance for HR leaders, technologists, and policymakers navigating the ethical implementation of AI in employment contexts.

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