AI-Driven Computational Engineering for Sustainable Development

Legal and Ethical Implications of AI for Human Resource Management: Handling Bias, Data Privacy, and Transparency for Sustainability

Author(s): Farha Khan, Akansha Mer*, Lata Pande and Kavita Khati

Pp: 25-48 (24)

DOI: 10.2174/9789815324037126010005

* (Excluding Mailing and Handling)

Abstract

Artificial Intelligence (AI) is increasingly being incorporated into Human Resource Management (HRM), which brings complex ethical and governing issues. This research paper addresses moral and legal problems by methodically investigating Artificial Intelligence's legal and ethical implications in HRM for an effective business. The study addresses the ethical aspects, including bias, justice, accountability, transparency, and the confidentiality and security of worker information. The legal roots are examined, covering information fortification strategies such as the General Data Protection Regulation and anti-discrimination regulations. The Personal Data Protection Bill and the Equal Remuneration Act are two Indian laws discussed in the paper, and their implications for AI in HRM are explored. The major aspects considered in the paper are lawful strategies that signify discrimination in AI-driven HR. The study employed a methodical approach, examining current legal systems and literature.

The main findings include the necessity of model interpretability, the use of fair machine learning algorithms, open communication with employees, and informed consent for sensitive employee data. The study emphasizes the importance of using AI responsibly to uphold human rights that are fair, open, and respectful of individual liberty. The results inform the conversation about AI ethics and legal compliance, directing the responsible application of AI in HR.


Keywords: AI in human resource management, Artificial intelligence and HRM, Compliance, Ethics, GDPR, Handling bias, Information privacy and transparency, Law, Sustainability.