Filter Settings

Clear all filters Publication Talk Open Position Network Event Survey Staff Award
  • Talk
  • Event
  • Causality

05.08.2026

Comparing causal explanations with Bayesian methods

Joe Suzuki visits the Chair of Causality to discuss Bayesian ICA for causal discovery.

[Read more]

  • Talk
  • Network
  • Event
  • Staff
  • Human Understanding of Machines and Algorithms

29.07.2026

When cooperation is handed to an algorithm

Inês Terrucha presented RC Trust research in Japan on how delegating decisions to AI changes social behaviour – even when people retain full control over how the AI acts.

[Read more]

  • Talk

08.07.2026

Uncertainty is not a flaw, but part of trustworthiness

At RC Trust, Julian Rodemann discussed feedback loops, uncertainty, and the communication of reliable data science.

[Read more]

  • Talk
  • Network

29.06.2026

Start with abilities, not assumptions

Laurianne Sitbon visited the RC Trust Graduate School and Giulia Barbareschi’s chair to discuss inclusive co-design.

[Read more]

  • Talk
  • Network

26.06.2026

When the production of science speeds up, means for ensuring trust must catch up

Johannes Breuer visited the RC Trust Graduate School to discuss how AI reshapes trust in research.

[Read more]

  • Talk
  • Network
  • Event

01.06.2026

Building trustworthy health research through international scientific exchange

Doctoral researcher Maria Thurow brings biostatistician Thomas Alexander Gerds to TU Dortmund for a lecture on causal inference.

[Read more]

  • Talk
  • Network

29.05.2026

Trustworthy AI enters the classroom

Meltem Aksoy discussed calibrated trust in AI education at HAYEF AI4EDU 2026.

[Read more]

  • Talk
  • Network

29.05.2026

Governing intimacy in the age of AI

At CPDP 2026, Jessica Szczuka discussed intimacy, trust, and risks in human-AI relationships.

[Read more]

  • Talk
  • Network

30.04.2026

Privacy and anonymization in language processing: Are we barking up the wrong tree?

Ivan Habernal’s invited talk at CALD-pseudo 2026 explores how AI can handle sensitive data – and where current assumptions fall short.

[Read more]

Don't want to miss any news? We have an RSS feed and a monthly newsletter covering the highlights.

Scroll To Top