Trusted information systems and platforms

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Summary

On the one hand, the field examines how companies select and use trustworthy systems and platforms in order to generate business and social benefits. On the other hand, it also examines how system providers can signal the trustworthiness of their systems. The trust of decision-makers in new technologies is becoming increasingly important, as trust reduces uncertainty and is an essential prerequisite for the willingness to use technologies.

Research assistants

Dr. Kathrin Brecker, Eva Späthe.

Former members: Dr. Heiner Teigeler, Dr. Maximilian Renner

Main research areas

Analysis of adoption-driving and inhibiting factors in the use of cloud-based AI services.

Research into how users can trust AI systems.

Analysis of how too much trust or over-trust in technologies leads to risks and misconduct.

Development of certification methods for digital services to prove quality and security to the outside world.

Exemplary publications

  • Adam, M.; Lins, S.; Sunyaev, A.; Benlian, A. (2023). The Contingent Effects of IS Certifications on the Trustworthiness of Websites. In: Journal of the Association for Information Systems 25(3), 549-617. doi: 10.17705/1jais.00836
  • Thiebes, S.; Lins, S.; Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic markets 31 (2), doi:10.1007/s12525-020-00441-4
  • Lins, S.; Greulich, M.; Löbbers, J.; Benlian, A.; Sunyaev, A. (2024). "Why So Skeptical? Investigating the Emergence and Consequences of Consumer Skepticism toward Web Seals", In: Information & Management 61 (2). doi: 10.1016/j.im.2024.103920
  • Renner, M.; Lins, S.; Söllner, M.; Thiebes, S.; Sunyaev, A. (2021). Achieving Trustworthy Artificial Intelligence: Multi-Source Trust Transfer in Artificial Intelligence-capable Technology. In: Proceedings of the 42nd International Conference on Information Systems (ICIS).