🎙️ With Prof. Dr. Tina Weisser – Professor at Hochschule München (University of Applied Sciences Munich)SummaryIn this episode of the in-between trust podcast, Eva Simone Lihotzky speaks with Prof. Dr. Tina Weisser about trust, systems thinking, and AI. Drawing on her path across service design, entrepreneurship, transformation consulting, and academia, Tina explores why “trust reduces complexity” and how that insight reshapes human–technology interaction - from multi-agent systems to the day-to-day realities of teams. The conversation moves from black-box AI to leadership futuring, psychological safety, and the practical redesign of processes so that humans stay in the driver’s seat.🔑 TakeawaysTrust reduces complexity and enables decisions under uncertaintyAI’s “black-box” behavior demands experience, verification, and critical thinkingMulti-agent systems shift from personal to team and workflow productivityDon’t “plug & play” AI - redesign processes with a systems lensKeep humans in the driver’s seat: transparency, orientation, competenceBuild psychological safety to experiment, fail, and learnTreat AI change as an adaptive challenge (not just a technical one)Bridge IT, HR, and leadership - it cannot be top-down or bottom-up aloneCreate time for deep strategic thinking (“leadership futuring”)Invest in training & enablement, not only tools🎙️ Sound Bites“Trust reduces complexity.”“We need to stay in the driver’s seat - even with agents in the background.”“It’s not a plug-and-play solution; redesign the system.”“Build trust through experience - and keep your critical thinking.”“Make space for deep thinking, not just meetings.”⏱️ Chapters00:00 Curiosity, boundary-spanning, and systems thinking03:14 Trust as a way to reduce complexity (Luhmann)06:47 AI as a black box: probability over truth10:19 Learning from early multi-agent experiments12:27 From personal productivity to team workflows14:49 Redesigning processes (not just “adding AI”)16:26 Leading uncertainty: safety, training, enablement18:17 Adaptive vs. technical problems (Heifetz)22:38 Bridging culture and tech; capabilities leaders need24:59 Haltung, self-regulation, and authenticity in leadership27:02 Iteration over perfection; shorter planning cycles30:24 “Stop the noise—start working”: a pragmatic toolbox32:59 Leadership futuring: time for strategy, signals, foresight36:36 In-between moments & reflections🔭 Keywordstrust, systems thinking, leadership, AI, human–AI interaction, multi-agent systems, service design, process redesign, psychological safety, adaptive leadership, experimentation, foresight, leadership futuring💻 Linksin-between trust on Instagram: @inbetween_trustMore about Hochschule München (HM): [insert link]More about Prof. Dr. Tina Weisser: [insert link]

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