75% of companies are now using generative AI. But only a third have responsible controls in place. That's not just a statistic—it's a ticking time bomb.

Today, I'm speaking with Dr. Paul Dongha, Head of Responsible AI at NatWest Group and co-author of the newly released 'Governing the Machine.' He's spent three decades bridging AI innovation with ethical implementation in one of the world's most regulated industries. If you want to know how to make AI governance an accelerator rather than a blocker, this is the conversation you need to hear.

If you're navigating the EU AI Act, building assurance platforms, or trying to earn customer trust while scaling AI, this conversation provides the roadmap. We compare notes on my AI TIPS model for operationalizing AI Governance and the Framework Ray Eitel-Porter (Author), Paul Dongha (Author), Miriam Vogel (Author) present in Governing the machine.

Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI’.?
With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

For questions or comments on this podcast reach out to me.