Human in the Loop Podcast

As AI agents become more capable, measuring and mitigating risk is more important than ever. In this episode of Human in the Loop, our guest Mehrnoosh Sameki discusses the shift from evaluation to mitigation, the new open-source measurement framework ASSERT, and the role of agent control systems in building safer and more trustworthy agents.

This episode explores the intersection of Model Context Protocol (MCP), Copilot Studio, and Responsible AI (RAI). We discuss how MCP is shaping the next generation of AI integrations, how organizations can build powerful agents with Copilot Studio, and why responsible AI principles must remain at the center of agent design, deployment, and governance. A practical discussion for developers, makers, and AI leaders looking to build intelligent systems that are both capable and trustworthy.

This episode explores data poisoning and its growing impact on AI systems, from model backdoors to agent memory risk. Ioana and Chris chat with Microsoft's Giorgio Severi about how adversaries manipulate data, why these attacks are hard to detect, and what it takes to build layered defenses that keep AI systems reliable, safe, and trustworthy.

For this episode of Human in the loop, we talked with Dux Raymond Sy (Chief brand officer, AvePoint) to explore why a foundation of trusted data is crucial in the AI era. We chatted about how to avoid data traps, how to prepare for a future full of AI assistants, and turn AI hype into real results without compromising trust.

In this episode of Human in the Loop, Christina Mallon joins us to unpack why disability is best understood as a mismatch between people and systems. We explore inclusive design, responsible AI, and why average users don't exist with a focus on how continuous human oversight matters long after launch.