Where should organizations draw ethical boundaries for automated decision-making, and how do you move fast with confidence that your systems are defensible, fair, and legally sound?

That question sits at the center of one of the most urgent conversations in talent acquisition today. AI adoption is accelerating, but governance is lagging – and the gap between moving fast and moving responsibly is where most talent strategies quietly crack. As agentic AI embeds itself across hiring decisions, workforce planning, and internal mobility, organizations can no longer treat governance as a policy footnote. It has to function as a real control layer.

In this webinar, Ahmed ElAttar, Senior Leader of Global Talent Acquisition & Development at TeKnowledge, shares what he’s learning while actively implementing AI across hiring, skills, and workforce planning – and the human-first governance approach that keeps it defensible without becoming a bottleneck to the business.

Key takeaways:

• Where the adoption-to-governance gap shows up in practice and what to prioritize to close it
• How to stress-test your current AI tools against ethical and legal exposure
• Language and framing to win C-suite and cross-functional buy-in on responsible AI – so governance enables adoption rather than blocking it.