Challenge
Artificial intelligence (AI)-based systems are altering the way humans, companies, and governments work, interact, or conduct business. Despite the benefits of introducing AI into the fabrics of society, their adoption faces various challenges and an increased need for human-centered design approaches that foster trust.
Approach
This project aims at exploring
- How can we define trust in digital interactions? And how to measure it?
- What fosters trust in digital interactions? And what does not?
- How can explainable AI and transparency improve human-AI interactions? And how can they not?
The project addresses these questions in the context of different digital interactions, including with data scientists, costumers, and domain experts.
Expected Results
A better understanding of how to foster trust in various digital interactions and how the design of digital interactions can be improved.
Selected Scientific Contributions
Benk, M., Schlicker, N., von Wangenheim, F., & Scharowski, N. (2025). Bridging the knowledge gap: Understanding user expectations for trustworthy LLM standards. In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (forthcoming).
Benk, M., Kerstan, S., von Wangenheim, F., & Ferrario, A. (2024). Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions. AI & society, 1-24.
Benk, M., Weibel, R. P., Feuerriegel S., & Ferrario, A. (2022). “Is It My Turn?”: Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 479 (November 2022).
Benk, M., Weibel, R. P., & Ferrario, A. (2022). Creative Uses of AI Systems and their Explanations: A Case Study from Insurance. ACM CHI 2022 Workshop on Human-Centered Explainable AI (HCXAI’22).
Benk, M., Tolmeijer, S., von Wangenheim, F., & Ferrario, A. (2022). The Value of Measuring Trust in AI-A Socio-Technical System Perspective. ACM CHI 2022 Workshop on Trust and Reliance in AI-Human Teams (TRAIT’22).
Project Status
Ongoing
Lead Researchers
Michaela Benk, Dr. Joseph Ollier
