Professor Tina Weisser on Trusting AI In An Uncertain World
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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
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