Show Notes
As Artificial Intelligence (AI) gets smarter and tkaes over more tasks, what happens to human dynamics like trust, transparency, leadership and empathy. How can humans and machines wowrk togehter effectively? And how can leaders lead in this new world?
Episode Summary AI is often discussed as a technical challenge, but the more interesting question is how it impacts humans and how we will interface with them. As AI becomes part of the world we’re navigating, it raises deeply human questions about trust, transparency, confidence, and how we relate to systems we don’t fully understand.
On this episode, I'm joined by Professor Tina Weisser, a leading thinker on human–AI collaboration, systems thinking, and organisational behaviour under uncertainty. Together, we explore why trust isn’t something we can engineer into technology, why uncertainty isn’t a problem to be eliminated, and what AI may be revealing about human behaviour, rather than the other way around. This conversation is less about what AI can do, and more about what it does to us.
Guest Profile Professor Tina Weisser is a Professor at the Munich University of Applied Sciences and a member of the Munich Center for Digital Sciences and Artificial Intelligence (MUC-DAI). Her work focuses on human–AI collaboration, systems thinking, service design, and how organisations adapt under conditions of complexity and uncertainty.
AI-Generated Timestamp Summary 00:00 – AI as a human problem, not a technical one 04:00 – Tina’s path into human–AI collaboration 12:00 – Why uncertainty is unavoidable (and necessary) 18:00 – We haven’t mastered work — and now we’re adding AI 23:00 – From tools to agents: why this feels different 29:00 – Trusting actions, not facts 35:00 – Ethics, fear, and human inconsistency 42:00 – What this means for students, skills, and learning 49:00 – “Let AI handle the data — humans handle the room” 55:00 – Being right too early doesn’t help 1:01:00 – AI as a mirror of humanity
Episode Links Tina's LinkedIn profile - https://www.linkedin.com/in/tinaweisser/
Tina's website - www.tinaweisser.com
Munich Center for Digital Sciences & AI (MUC-DAI) - http://mucdai.hm.edu
More from The Human Risk Podcast
What does it actually take to prevent sexual harassment at work? Policies, training, reporting mechanisms and statements of zero tolerance are one thing. Creating a workplace where sexual harassment is genuinely less likely to happen is something else entirely.
What can financial markets teach us about human behaviour? Why might the size of a CEO’s signature tell us something useful about the company they run? And why, even when smart investors know something is probably a bubble, might they keep investing anyway?
What if understanding regulation could help us spot when politicians are promising the impossible? Regulation sounds simple in theory. Something poses a risk, so we create rules and a regulator to control it. In practice, things get complicated very quickly. It's something we all benefit from, but equally can experience as redtape that prevents us from doing what we think we ought to be able to.
What if AI could help us understand people better, rather than simply replacing what humans do?
What’s the last thing you learned simply because you wanted to know?