🤖 AI doesn’t just answer. It can agree, challenge, and advise. Tuğrulcan Elmas joined the RC Trust to ask: Who should know, decide, and act in human-AI interaction? From disagreement to relationship advice to AI doing students’ work: when should AI help – and when should humans stay in control?

From conference organization to research on human-AI interaction: RC Trust researchers took on different roles at #MuC26 in Duisburg. Giulia Barbareschi and Jonathan Liebers helped organize the conference, while RC Trust teams contributed across the program. rc-trust.ai/news/news-de...

📊 Markus Pauly will be one of nine scientific experts advising Germany’s Federal Statistical Office on #Census2031. The group will contribute to the methodological development of the census, including data quality, record linkage, imputation and the use of existing register data. Photo: Julian Welz

🌍 What can past climates tell us about future projections? At #StatistischeWoche2026, RC Trust’s Nils Weitzel showed how statistics can test climate simulations against observations and reconstructions – and reveal where regional uncertainties remain. 📊🌡️ 🔗 rc-trust.ai/news/news-de...

🎓 Nico Föge has successfully defended his doctorate at TU Dortmund. “Branching into Uncertainty” asks how reliably we can explain which variables drive Random Forest predictions – especially when data are incomplete. 🌳📊 Congratulations, Nico Föge! 🔗 rc-trust.ai/news/news-de... #Statistics #PhD

Welcome to RC Trust, Agathe Balayn! In Jat Singh’s Compliant and Accountable Systems group, she studies how AI systems are built, evaluated, and governed in practice – from AI supply chains to evaluation practices and trustworthy AI. rc-trust.ai/news/news-de...

🔐 Digital sovereignty is also a question of trust. At the first Ruhr Innovation Lab Future Dialogue, RC Trust Scientific Director Nicole Krämer joined the debate on how people understand, assess, and use digital technologies. rc-trust.ai/news/news-de... #DigitalSovereignty Photo: Simon Bierwald

🧪📊 Enes Ün from Sabancı University is spending an Erasmus+ internship in Markus Pauly’s group at TU Dortmund. Working with Marléne Baumeister, he explores MANOVA and simulation studies, testing statistical methods across different data scenarios. 🔗 rc-trust.ai/news/news-de... #ErasmusPlus

How can Bayesian methods help identify cause and effect? 🔎📊 Joe Suzuki, Professor Emeritus at Osaka University, visits Alexander Marx’s Chair of Causality for a talk on Bayesian ICA. 📅 Aug 10 | 11:00 📍 JvF 25, Room 303 + Zoom tu-dortmund.zoom.us/j/9918511901... #Causality #BayesianStatistics

👋 Welcome to RC Trust, Marjolein Fokkema! The new professor at TU Dortmund University develops interpretable machine learning methods and improves uncertainty quantification in behavioral research. 🔗 rc-trust.ai/news/news-de... #MachineLearning #Statistics #Psychology Photo: Julian Welz

🤖 Can delegating decisions to AI make us more cooperative? At #ICSD2026 in Japan, Inês Terrucha presented RC Trust research with Nils Köbis on AI delegation, prosocial choices and self-interest. rc-trust.ai/news/news-de... #RCTRust #HumanAI

👋 Welcome to RC Trust, Chris Köcher! Chris joins Daniel Neider’s group as a Postdoc, bringing expertise in automata, formal language theory & verification – including work on LLM expressivity. 🤖🔍 #TrustworthyAI #FormalMethods

👋 Welcome to RC Trust, Paul Fink! Paul joins Daniel Neider’s group as a PhD student, bringing a background in philosophy, logic, multi-agent systems & formal methods. 🔍📐 #FormalMethods #TrustworthyAI

Causal discovery under skewed noise. 📊🔎 Daniel Klippert from @a-marx.bsky.social’s Causality group presents an ICML 2026 poster on SkewD – a method for causal discovery when real-world data is skewed. 🎓 rc-trust.ai/news/news-de... #ICML2026 #Causality #MachineLearning #CausalSky

🤖🔍 Ruhr Fellow David Broczkowski is studying transformer verification in Daniel Neider’s group at RC Trust. The internship combines AI research, formal methods, German practice and a first close look at academic life. 🇺🇸🇩🇪 rc-trust.ai/news/news-de... #TrustworthyAI #Verification

🌍 International exchange also happens behind the scenes. Ulrike Guba from Markus Pauly’s chair at TU Dortmund University used Erasmus+ Staff Mobility for job shadowing at Leiden University – gaining insights into administration, academic rituals, and everyday university work. #ErasmusPlus

🧪🤖 Can AI make chemical processes safer – and who checks the AI? Daniel Neider contributes to the 2nd DFG funding phase of FOR 5359, focusing on formal verification of neural networks for anomaly detection in sparse chemical process data. Photo©Schloss Dagstuhl – LZI GmbH, licensed under CC BY-NC-ND

Learning from cause and consequence 🤖🔎 Gabin Agbalé from @a-marx.bsky.social’s Causality group attended the Reinforcement Learning Summer School 2026 in Milan – connecting his PhD work on causal representation learning with international exchange. 🇮🇹🎓 #AI #Causality Photo: RLSS 2026/ELLIS Unit Milan

Uncertainty is not a flaw in data science. It is part of making data science trustworthy. At RC Trust, Dr. Julian Rodemann discussed uncertainty quantification, statistical inference, and feedback loops in modern machine learning. Read more: rc-trust.ai/news/news-de... #TrustworthyAI #DataScience

Research Explorer Ruhr 2026 brought three international early career researchers to RC Trust. Their visits connected mobility research, safe learning systems and statistics with possible future collaborations. rc-trust.ai/news/news-de... Photo: Marquard/RUB

At #ACL2026 in San Diego, RC Trust researchers contributed three papers and one workshop on privacy in NLP, generative web search, and multimodal industry classification. With contributions by Ivan Habernal, Bilal Zafar, and Elisabeth Kirsten. rc-trust.ai/news/news-de... Photo: Elisabeth Kirsten

🐛 A centipede walks effortlessly – until the frog asks how. In a science communication essay written as a submission to the KlarText Prize, Dr. Linara Adilova explains why trustworthy deep learning needs more than impressive performance.🧠📐 rc-trust.ai/news/news-de... Illustration: AI-generated

💙 What makes a chatbot feel like a romantic partner? In her first publication, Paula Ebner explores romantic human-chatbot relationships together with Dr. Jessica Szczuka. Published in Technology, Mind, and Behavior. 🔗 rc-trust.ai/news/news-de... #DigitalIntimacy #AICompanions

Start with abilities, not assumptions. Laurianne Sitbon visited the Graduate School and Giulia Barbareschi’s chair to discuss inclusive co-design with people with intellectual disability. Message: smart technologies become more trustworthy when people can help shape them. rc-trust.ai/news/news-de...

🎉 Jessica Szczuka has been appointed as one of ten new members of Die Junge Akademie. At RC Trust, she leads the Young Investigator Group INTITEC – Intimacy with and through Technology. 🔗 rc-trust.ai/news/news-de... #DieJungeAkademie #RCTRUST Photo: Die Junge Akademie/Bernd Brundert

AI can make science faster – but speed is not a quality check. 🚀 @johannesbreuer.com visited the RC Trust Graduate School to discuss AI, trust and research practice in the social and behavioral sciences. Transparency, quality, reproducibility:all are being reshaped by AI. rc-trust.ai/news/news-de...

AI in justice is no longer just theory ⚖️🤖 Ivan Habernal joined AI & JUSTICE in Prague and warned: if LLMs enter legal practice, rigorous evaluation, transparency & accountability must come first. 👉 rc-trust.ai/news/news-de... Photo: Tomas Koref

At #ICA2026 in Cape Town, RC Trust researchers presented work on human–AI interaction, science communication, AI literacy, privacy, misinformation, and digital intimacy. A strong fit for a center asking how trustworthy technology is understood, communicated, and lived. rc-trust.ai/news/news-de...

🧭 Corruption research meets digital responsibility. RC Trust and the University of Cologne co-host the 10th ICRN Forum in Duisburg. The organizing team includes members of Nils Köbis’ HUAM group, together with Anna Schwickerath from the University of Cologne. rc-trust.ai/news/news-de... #ICRN2026

📚 Learning data can help identify students who need support early. But can a model trained in one course be trusted in another? A new paper led by Jakob Schwerter explores trustworthy learning analytics from an RC Trust-funded project. 🎓📊 rc-trust.ai/news/news-de... Credit: Rebecca Beiter