• Dr. Priyanka Wandhe
• Ms. Riya Meshram
• Ms. Karishma Meshram
• Ms. Mayuri Shingade
• Ms. Nishita Jagnade

The integration of Artificial Intelligence (AI) in Human Capital Management (HCM) has transformed organizational practices in recruitment, performance evaluation, employee development, and workforce analytics. However, this technological advancement raises critical ethical concerns regarding bias, privacy, transparency, and human agency. This paper examines the multi-stakeholder approach to ethical AI implementation in HCM systems, analyzing the roles and responsibilities of organizations, technology vendors, regulators, and employees. Through secondary data analysis of recent literature and industry reports from 2022-2025, this study identifies key ethical challenges including algorithmic bias in hiring processes, privacy concerns in employee monitoring, and the need for transparent AI decision-making. The research proposes a comprehensive framework that emphasizes collaborative governance, continuous monitoring, and adaptive ethical standards. Findings indicate that successful ethical AI implementation requires robust stakeholder engagement, clear accountability mechanisms, and proactive bias mitigation strategies. The paper concludes with recommendations for establishing industry-wide ethical standards and regulatory frameworks that balance innovation with human dignity and organizational integrity.

Ethical AI, Human Capital Management, Multi-stakeholder approach, Algorithmic bias, AI governance, Workforce analytics, Digital ethics, HR technology.

"Bridging Innovation and Integrity: A Multi-Stakeholder Approach to Ethical AI Implementation in Human Capital Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.f188-f204, August-2025, Available :http://www.jetir.org/papers/JETIR2508527.pdf

"Bridging Innovation and Integrity: A Multi-Stakeholder Approach to Ethical AI Implementation in Human Capital Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppf188-f204, August-2025, Available at : http://www.jetir.org/papers/JETIR2508527.pdf