Human Resources is undergoing a transformation driven by artificial intelligence. No longer confined to back-office administration, HR is becoming a strategic data-powered function – and AI is at the heart of this shift. As we look to the future, AI is reshaping how companies attract talent, engage employees, and manage performance. In this chapter, we explore emerging trends in AI applied to HR processes (from talent acquisition to employee engagement and performance management), and consider how to implement these technologies strategically. We will examine both cutting-edge Microsoft solutions and notable approaches beyond the Microsoft ecosystem. Critically, we will emphasize governance, compliance, and auditability – including how the new Model Context Protocol (MCP) is redefining the way HR AI agents handle data and user interactions to ensure security and transparency.

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AI for the Future of HR

  • Ana Inés Urrutia de Souza

摘要

Human Resources is undergoing a transformation driven by artificial intelligence. No longer confined to back-office administration, HR is becoming a strategic data-powered function – and AI is at the heart of this shift. As we look to the future, AI is reshaping how companies attract talent, engage employees, and manage performance. In this chapter, we explore emerging trends in AI applied to HR processes (from talent acquisition to employee engagement and performance management), and consider how to implement these technologies strategically. We will examine both cutting-edge Microsoft solutions and notable approaches beyond the Microsoft ecosystem. Critically, we will emphasize governance, compliance, and auditability – including how the new Model Context Protocol (MCP) is redefining the way HR AI agents handle data and user interactions to ensure security and transparency.