International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | The Integration of Generative AI and Workforce Data Systems: Strategic Opportunities and Ethical Guardrails |
|---|---|
| ABSTRACT | Generative AI is rapidly moving beyond its early applications in software development to reshape core business functions such as human resources, employee onboarding, recruitment, employee servicing and more. This article explores how organizations are integrating generative AI into workforce data systems, presenting an architectural view of adoption and the implications for enterprise-scale deployment. These technologies offer significant opportunities to enhance efficiency, personalization, and decision-making. It is also important to acknowledge that they introduce challenges including hallucinations, data privacy risks, and security vulnerabilities. The article highlights critical guardrails and best practices that enable organizations to adopt generative AI responsibly, balancing innovation with governance. |
| TITLE | |
| AUTHOR | NISHIT DHILEN MEHTA Independent Researcher, Advanced Analytics Executive, NJ, USA |
| VOLUME | 175 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1310054 |
| pdf/54_The Integration of Generative AI and Workforce Data Systems Strategic Opportunities and Ethical Guardrails.pdf | |
| KEYWORDS | |
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