Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jaganathan Balaji

h-index 0 View on Semantic Scholar

We have 6 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

Workforce 5.0 Adoption in Intelligent Enterprises: A Case Study of AI-Driven Reskilling and Agile Workforce Development

The findings indicate that Human–AI collaboration significantly improved employee learning outcomes, reduced skill gaps, enhanced decision-making efficiency, and increased workforce adaptability in an intelligent enterprise undergoing digital transformation.

Jaganathan Balaji · 0 citations
Open access Sep 2026

Governing AI in the Workplace: A Case Study of Algorithmic Risk, Ethics, and Regulatory Compliance in Human Resource Management

This case study examines the governance challenges associated with AI-enabled HR decision-making in an organizational context and highlights the importance of continuous AI auditing, meaningful human oversight, and clearly defined organizational responsibilities for responsible and sustainable AI governance frameworks...

Jaganathan Balaji · 0 citations
Review Open access Sep 2026

Artificial Intelligence and the Future of HR Governance: A Review of Ethics, Risk Management, and Regulatory Compliance

Responsible AI governance should become a strategic component of modern HR management, enabling global organizations to balance technological innovation with employee rights, organizational accountability, and sustainable regulatory compliance.

Jaganathan Balaji · 0 citations
Review Open access Sep 2026

AI-Driven HR Governance in Global Organizations: Integrating Ethical Intelligence, Risk Management, and Regulatory Compliance

The review indicates that effective AI-driven HR governance requires transparent algorithms, human oversight, ethical accountability, bias mitigation, data protection, continuous risk assessment, and alignment with evolving regulatory requirements.

Jaganathan Balaji · 0 citations
Review Open access Jul 2026

Workforce 5.0: Human–AI Collaboration Models for Reskilling and Organizational Agility in the Era of Intelligent Enterprises

The findings indicate that effective Human–AI collaboration significantly improves operational efficiency, decision-making quality, employee engagement, and innovation capability and presents a strategic pathway for organizations seeking sustainable growth in the era of intelligent enterprises.

Jaganathan Balaji · 0 citations
Review Open access Jul 2026

Human–AI Synergy in Workforce 5.0: A Comprehensive Review of Reskilling Strategies and Organizational Agility Frameworks

The review reveals that Human–AI collaboration enhances productivity, innovation, decision-making quality, and workforce adaptability, and indicates that organizations adopting collaborative intelligence models achieve greater resilience and competitive advantage compared to those relying solely on automation-focused a...

Jaganathan Balaji · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.