AI as a Colleague
Human–AI Collaboration
Artificial intelligence is transforming not only work processes, but also the way people collaborate, make decisions, and take responsibility. While some experience AI as a helpful tool, others approach it with skepticism or uncertainty—depending on their experience, role, and context of use. Between real-world applications and futuristic visions, questions arise about what collaboration feels like when the “colleague” is no longer human, which psychological mechanisms are at play, and where the boundary lies between extremes and everyday reality. Current research shows that trust in AI does not depend on technology alone, but on the entire system: transparency, accountability, organizational frameworks, and the stakeholders involved. These perspectives enable a nuanced understanding of what is needed today to integrate AI into collaboration in a meaningful, responsible, and trustworthy way.
Your benefits at a Glance
- Conscious use of AI in everyday work
- Reflective human–AI collaboration
- Strengthening trust in AI systems
- Understanding psychological mechanisms
- Distinguishing between hype and reality
- Clarifying roles and responsibilitie
- Developing a shared language for AI use
- Raising awareness of individual differences in AI use
- Systemic thinking about AI deployment
- Conscious use of AI in everyday work
- Reflective human–AI collaboration
- Strengthening trust in AI systems
- Understanding psychological mechanisms
- Distinguishing between hype and reality
- Clarifying roles and responsibilities
- Developing a shared language for AI use
- Raising awareness of individual differences in AI use
- Systemic thinking about AI deployment
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Events
Overview
Die TUM Campus Heilbronn gGmbH
Certificate of attendance
590 €; Special opening offer: 490 €
10% discount for TUM Alumni
German
- Managers and company owners
- Employees of the human resources department
- Works council members
2 Days at 4 hours each
Tuesday, April 28, 2026
Thursday, April 30, 2026
Online
None
What we offer you
The program aims to develop a reflective, responsible, and practice-oriented understanding of human–AI collaboration, equally addressing psychological, organizational, and ethical dimensions.
The idea of the compact course is to examine human–AI collaboration from a holistic perspective and to connect technological developments with psychological, social, and ethical questions. Through a varied combination of short input sessions, interactive small-group activities, and shared reflection in plenary discussions, the course provides a practical and accessible approach to human–AI collaboration.
Content of the program
- AI as a tool, assistant, or team member
- Tensions between control, cooperation, and equality
- AI as a neutral technology versus a social actor
- Differences in expectations between laypeople and experts
Future Visions and Design Spaces
- Utopian and dystopian scenarios of AI use
- Active design of future human–AI teams
Trust, Responsibility, and Systems
- Dimensions of trust: competence, integrity, and benevolence
- Interactions between AI, humans, organisations, and developers
Statement
I can fully recommend the course.
„I can fully recommend the course. The use of modern presentation tools was effective, and the participants were very well involved. The organization, the presentation, the facilities, and of course the lecturers all created a pleasant learning environment. They were two true experts from the research field. The technology is still very new and is currently in a phase of researching what it can and cannot be used for. Therefore, the theoretical background was very interesting. We are currently experimenting with language AI models to extract information from existing documents, for example, to simplify onboarding processes.“
An inspiring seminar on AI and collaboration.
„The speakers provided sound scientific input and consistently stimulated thought. The interactive group work sessions featured lively exchanges in a pleasant atmosphere. It was very valuable to hear the different perspectives, as we all face similar challenges when it comes to AI. It was interesting to see who stands where. The innovative, modern campus was the ideal location for this forward-looking topic. I highly recommend the seminar.“
AI is not just a technical challenge, but also a human one.
„Many companies are faced with the question of how they can meaningfully integrate artificial intelligence (AI) into their existing structures. Yet, human factors such as acceptance and trust in the change process are often neglected. How can we convince employees of the benefits of AI? How do we create an environment in which AI is seen as a support and not a threat?“
Dozentin KI als Kollege
A successful AI implementation is a change process that affects everyone.
„The implementation of AI can have a profound impact on working methods and team dynamics. Managers are faced with the challenge of shaping these changes in a human-centred way. How will AI affect collaboration in teams? What challenges and resistance could arise? Only through proactive and well-planned change management can companies realize the full benefits of AI.“
Dozentin KI als Kollege
I enjoyed the seminar a lot. It is interactive, exciting and offers a balanced mix of theory and practice.
„The dialogue between the lecturers and participants is very vibrant. Knowledge is imparted, but there are also many opportunities to get actively involved. My key takeaway is that the use of artificial intelligence is not easy, and therefore many aspects have to be considered that you might not even think about beforehand.“
Teilnehmerin KI als Kollege
The round table encourages open dialogue and creates a very dynamic atmosphere.
„I have learnt here that many questions that concern me on the subject of artificial intelligence are omnipresent. This demonstrates how relevant the topic is. The dialogue with each other offers the opportunity to identify use cases together and gain new insights. I definitely recommend the workshop as the communication is fantastic and the networking opportunities at regional level are a major benefit.“
Teilnehmer KI als Kollege
About the lecturers
Dr. Eleni Georganta
Dr. Eleni Georganta is an occupational and organizational psychologist with proven experience in research and teaching at academic institutions. She currently works as an assistant professor at the University of Amsterdam. Her research focuses on teamwork, new technologies and work design. The overarching goal is to translate research and theory into practice through training and coaching interventions. She completed her Doctor of Philosophy (PhD) in work and organizational psychology at Ludwig Maximilian University in Munich.
Dr. Anna-Sophie Ulfert-Blank
Dr. Anna-Sophie Ulfert-Blank is an industrial and organizational psychologist with extensive experience in research and teaching at academic institutions. She currently works as an assistant professor at Eindhoven University of Technology (TU/e), affiliated with the Department of Industrial Engineering and Innovation Sciences and the Eindhoven Artificial Intelligence Systems Institute. Her research focuses on human-AI collaboration, teamwork, and the design and implementation of future AI systems in the workplace. The overall goal is to bridge the gap between research and practice by promoting interdisciplinary insights into effective human-AI teams. She holds a PhD in Psychological Diagnostics from Justus Liebig University Giessen.
TUM Campus Heilbronn
At the Dieter Schwarz Foundation’s state-of-the-art educational campus, the TUM Campus Heilbronn combines cutting-edge research and excellent teaching with a clear focus on the interdisciplinary interface of management, computation, information, and technology. The aim is to responsibly shape the opportunities and challenges of the digital age.
Founded in 2018 with the support of the Dieter Schwarz Foundation, TUM Campus Heilbronn combines the strengths of the Technical University of Munich with the economically strong Heilbronn-Franken region, which is characterized by small and medium-sized enterprises, global market leaders, and the future European AI hub (IPAI). As a sustainable driver of innovation, TUM Campus Heilbronn promotes international talent and trains future innovators, specialists, and executives.
The interdisciplinary, English-language bachelor’s and master’s programs at the TUM School of Computation, Information, and Technology and the TUM School of Management combine academic excellence and technological expertise with entrepreneurial thinking and practice-oriented teaching. Leading professors conduct research and teach at our campus, which attracts a rapidly growing international student body. Through close cooperation with international universities and companies, we are creating an innovation ecosystem that accelerates progress, strengthens the region’s competitiveness, and empowers talent to actively shape the challenges of the digital age. Innovation meets small and medium-sized businesses.
Your contact partner
For AI as a Colleague