Human in the Loop

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. What You Will Learn: Understand what AI red teaming is...

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. What You Will Learn: Why trustworthy data is the foundation of effective...

In this episode of Human in the Loop, we sit down with Meredith from Applied Information Sciences to explore what it truly takes to bring AI into organizations responsibly. From securing sensitive data to navigating shadow AI, she shares practical guidance shaped by years of working with highly regulated industries. Together, we unpack the evolving role of AI policies, the importance of human‑in‑t...

In this episode of Human in the Loop, we sit down with Meeri Haataja, CEO and co-founder of Saidot, to explore what responsible AI governance really looks like inside organizations. From navigating regulatory frameworks to embedding transparency and accountability into AI development, Meeri shares practical insights for businesses at every stage of their AI journey. Whether you're scaling a startu...

In this very first episode, hosts Chris Huntingford and Ioana Tanase, talk with Microsoft's Altrese Hawkins-Gopie about what responsible AI really means, why it matters for everyone (not just techies), and how we can all play a part in building Trustworthy AI. What you will learn: • What “responsible AI” is (with real-world examples) • Why community feedback and inclusion are essential • How users...

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. What You Will Learn: Disability is a mismatch, not a deficit. There is no such thing as the “aver...

This episode explores what organizations need to get right with their data, the difference between automation and generative AI, and how agentic systems can support real workflows. We break down practical steps for readiness, governance, and using tools like MCP servers and multi-agent models effectively. What You Will Learn: • AI is only as good as the data behind it. • Generative AI does not rep...