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Thought leadership webinar

Governing AI in a new era: Navigating risk, regulation and responsibility.

Webinar on demand

Explore the frameworks, roles, and regulatory shifts driving responsible AI governance in today’s complex environment.

AI isn’t just another technology rollout. It’s redefining how decisions are made, risks are assessed, and responsibilities are shared. Without a governance framework, you’re exposed to bias, compliance breaches, reputational risk, and operational failure.  

Join Protecht’s David Tattam and guest expert Elena Pykhova for a deep dive into the frameworks, roles, and responsibilities shaping AI governance today.

This webinar will focus on UK and EMEA AI Act Regulations, which may be of significant interest to risk and compliance professionals in the U.S. and Canada.

In this session, we’ll explore:  

  • Cross-functional governance: Why risk leaders must collaborate across data science, legal, compliance, and IT 
  • AI governance operating models: What “good” looks like—and how to adapt for your maturity level 
  • Emerging best practices: The rise of AI governance committees and the Chief AI Officer role 
  • Model classification: How to prioritize oversight by AI system type, risk level, and business impact 
  • Policy integration: Where AI governance fits into procurement, privacy, risk appetite, and control frameworks 


Don’t let AI outpace your governance practices. Watch now to learn how to take control, before the risks take control of you.

Presenters

Elena Pykhova

Director and Founder, The Op Risk Company

David Tattam

Chief Research and Content Officer, Protecht

What you will learn:

This webinar offers a real-world, risk-led perspective on: 

  • How to identify and manage the risks and opportunities of generative AI 
  • How to keep pace with evolving global regulation—from the EU AI Act to UK principles-based guidance 
  • Key components of an effective AI governance model—and how to align it with your current risk framework 
  • The role of Operational Risk teams in shaping AI policy, controls and accountability 
  • Practical tools and methodologies to assess, test and mitigate AI risk at scale 

Who should attend:

This session is ideal for leaders navigating the intersection of AI, risk, and regulation—including: 

  • Chief risk officers (CROs)
  • Risk and compliance managers
  • Governance and strategy leaders
  • Executive leaders and board members
  • Internal auditors
  • Cybersecurity IT risk leaders
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About the presenters

Director and Founder, The Op Risk Company

Elena Pykhova is an award winning risk expert, author, international trainer and educator. Director and founder of a boutique risk management consultancy, The OpRisk company, specialising in risk transformation, board and executive level advice on effective operational and enterprise risk management strategy, design and implementation. Author of best-selling book, Operational Risk Management in Financial Services: A Practical Guide to Establishing Effective Solutions. Thought leader, influencer and founder of a prominent industry think tank, Best Practice Operational Risk Forum. Executive global trainer at the world leading venues including London Stock Exchange Academy, the Moller Institute, University of Cambridge, Euronext, Institute of Internal Auditors, Risk.net. 

Chief Research and Content Officer, Protecht

David Tattam is the Chief Research & Content Officer and co-founder of the Protecht Group. David's vision is to redefine the way the world thinks about risk and to develop risk management to its rightful place as being a key driver of value creation in each of Protecht's customers.

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