Delegated to the Machine: Implementing Guardrails when Using Agentic AI in HR

As companies embrace agentic artificial intelligence to transform recruitment, new legal and privacy challenges emerge. This session will explore a case study relating to a fictional company leveraging agentic AI for resume screening, database searches, and automated and recorded interviews, to highlight the evolving legal landscape. We will examine how privacy, consent, bias, transparency and accountability intersect in modern hiring workflows. Attendees will gain actionable frameworks for spotting legal pitfalls, structuring vendor relationships and complying with emerging regulations. Whether you are a privacy professional, in-house counsel, or HR leader, this session will help you ask the right questions and build responsible AI strategies for talent acquisition.

What you will learn:

• How to identify and address privacy and consent challenges in agentic AI-led hiring, including candidate notification and recording practices. 
• Strategies for mitigating bias and ensuring fairness in AI screening, with a focus on auditability and transparency. 
• Approaches to allocating accountability and legal risk between employers and AI vendors in recruitment partnerships.