Feel free to reach out if you’d like to connect and chat about these papers or our other work. See you in Barcelona!

#CHI2026 #HCI #AI #TrustworthyAI #SocialMedia #Journalism

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🎶 How can AI in music be more transparent & fair?

At #NLP4MusA2026, Orfium introduced LabelBuddy 🤖—an open-source tool combining AI + human input for high-quality data.

A step toward #TrustworthyAI and ethical innovation in creative industries.

#ExplainableAI #MusicTech #OpenSource

Authors: Federico Marcuzzi (INSAIT - Institute for Computer Science, Artificial Intelligence and Technology), Xuefei Ning (Tsinghua University), Roy Schwartz (The Hebrew University of Jerusalem), and Iryna Gurevych (UKP Lab, Technische Universität Darmstadt and ATHENE Center).

See you at #EACL2026 in Rabat 🕌!

#UKPLab #NLProc #ResponsibleAI #Quantization #MLSafety #Fairness #TrustworthyAI #ModelCompression #LLMSafety #EthicalAI #NLP #AIResearch

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Engineering the Connective Layer: Why Bentley Systems Is One of Dublin's Most Interesting Product Challenges

A Dublin product leader's analysis of Bentley Systems: connected data, internal platforms, and trustworthy AI inside one of Ireland's most strategic software challenges.

🔗 Read more at ryanw.eu

🌍 We’re happy to welcome Jacob Grytzka to the Environmetrics group at RC Trust (TU Dortmund University)! 🎉
His research focuses on interpretable statistical models for Earth system simulations and improving uncertainty quantification in climate projections. 📊🌡️
Why this matters: Better understanding of environmental change supports more transparent and reliable decision-making–from infrastructure to climate adaptation. 🏗️🌱
Welcome, Jacob! 🚀
#ClimateScience #DataScience #TrustworthyAI
📸:Julian Welz

Work by Nils Dycke & Iryna Gurevych (Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt and National Research Center for Applied Cybersecurity ATHENE)

See you at #EACL2026 in Rabat 🕌!

#UKPLab #LLMs #PeerReview #AIforScience #TrustworthyAI #NLP #Evaluation

🤖⚙️ How much trust does AI deserve?
At the 2nd AI Workshop in Dortmund, Nicole Krämer (Social Psychology, Media & Communication) spoke about calibrated trust – finding the right balance in relying on AI.
🧠 Sven Mayer (Human-AI Interaction) highlighted intelligent assistance systems that help humans and machines work better together.
💡 A key takeaway: trustworthy AI is not only about technology – it’s about people, context, and responsibility.
#AIWorkshop2026 #TrustworthyAI #FutureOfWork
🤖🚗 AI is moving into the physical world – but how do we verify it?
Prof. Daniel Neider from the Department of Computer Science at TU Dortmund University joined a Shonan Meeting 🇯🇵, a selective research seminar bringing together experts in AI, formal methods, and robotics.
The focus:
🔬 LLM-guided synthesis
🧪 testing
📐 verification of learning-enabled cyber-physical systems.
Key research for building trustworthy AI.
#TrustworthyAI #ReliableAI #CyberPhysicalSystems #AIresearch