
This episode discusses the importance of embedding trust in AI systems and introduces the Trust by Design framework.
Trust is not a feature. It’s the foundation. And yet, most organizations are still treating it as an afterthought—something to audit, regulate, or retrofit once AI is already in motion. That mindset is breaking. Fast. In this episode, Steven Abel and Franklin Manchester introduce a critical shift: from managing AI risk to engineering trust into the system itself. This is the essence of Trust by Design—a framework that redefines how enterprises build, deploy, and scale AI in an agentic world. Because we are no longer deploying tools. We are deploying decision-makers. And that changes everything. Here’s what becomes clear: The industry’s false start Organizations are over-investing in models and under-investing in decision architecture. More LLMs ≠ more trust More data ≠ better decisions More pilots ≠ real transformation The breaking point of autonomy As AI systems evolve from copilots to agents, the risk profile shifts dramatically: Decisions are made faster—and at scale Human oversight becomes impractical Errors compound across interconnected systems The idea of “human in the loop” quickly collapses when one human is expected to validate thousands of machine-generated decisions…
Host: Sabine VanderLinden
Guests: Steven Abel, Franklin Manchester
Organizations: Trust by Design
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