Many organizations approach AI risk as an ethics conversation, but ethics alone won’t protect you from operational failure, customer confusion, or reputational damage. And companies sometimes learn that lesson the hard way.

In this Mavens of Data, Cal Al-Dhubaib, Head of AI and Data Science at Further, joins the show to introduce Trust Engineering: a practical framework for designing AI systems with a focus on managing risk and setting appropriate expectations.

If your AI is influencing real customers, real dollars, or real-world outcomes, this episode is a blueprint for building resilience before something breaks.

What you’ll learn:

• What Trust Engineering really means, and why it’s more than AI ethics

• The four pillars of Trust Engineering and how they work together

• Why incident response must be designed before deployment

• What leaders can do today to build systems that fail more safely