Citation:

Amit Mangal, 2023. An Analytical Review of Contemporary AI-Driven Hiring Strategies in Professional Services, ESP Journal of Engineering & Technology Advancements  3(3): 52-63.

Abstract:

This study presents a comprehensive review of ethical considerations and emerging trends in AI-based recruitment practices. With the proliferation of artificial intelligence (AI) technologies in the recruitment landscape, organizations face both opportunities and challenges in leveraging these tools to enhance their talent acquisition processes. The study critically analyzes the potential benefits and drawbacks of AI in recruitment, drawing on a systematic literature review encompassing academic journals, industry reports, and case studies. The findings reveal a nuanced understanding of the capabilities and limitations of AI in recruitment, highlighting its potential to increase efficiency, reduce bias, and improve candidate quality. Techniques such as predictive analytics, gamification, virtual reality assessments, and social media screening have emerged as powerful tools to optimize recruitment processes. However, challenges such as algorithmic bias, privacy concerns, and potential negative impacts on candidate experience warrant careful consideration. Ethical and legal considerations play a crucial role in the adoption of AI-based recruitment strategies, ensuring fairness, transparency, and compliance with regulatory requirements. The study emphasizes the importance of prioritizing fairness, transparency, and accountability in AI-driven decision-making processes, as well as the need for organizations to adhere to relevant laws and regulations governing data protection, privacy, and discrimination. This study therefore recommends that organizations prioritize ethics, train HR professionals, continuously improve recruitment processes, balance AI with human judgment, stay updated on trends, and foster ethical innovation in AI-based recruitment strategies.

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Keywords:

AI Recruitment Ethics, AI in Talent Acquisition, AI Recruitment Strategies, AI Recruitment Challenges.