RC Trustworthy Data ScienceJun 3
🧠 How do neural networks actually learn?
Dr. Linara Adilova presented RC Trust research at the BIFOLD & ELLIS workshop AI to Accelerate Scientific Understanding in Berlin.
Her poster explored how information theory and geometry can help explain latent representations and generalization in deep learning.🔍🤖
A strong connection between trustworthy AI, explainability, and scientific discovery. 🤝
https://rc-trust.ai/news/news-detail/understanding-how-neural-networks-learn
#TrustworthyAI #DeepLearning #ExplainableAI #ScientificDiscovery #MachineLearning
RC Trustworthy Data ScienceJun 2
🤖❤️ When AI systems become emotionally persuasive, governance questions become personal.
At #FAccT2026 in Montréal, Dr. Jessica Szczuka and the INTITEC group presented research on “relational accountability” and the regulation of AI companions together with Henry L. Fraser and Raffaele F. Ciriello.
🔗 https://rc-trust.ai/news/news-detail/when-artificial-intimacy-becomes-a-governance-challenge
#TrustworthyAI #AIGovernance #HumanAIInteraction
Graphic: © AMC FAccT 2026
RC Trustworthy Data ScienceMay 29
🎓🤖 AI in education is not just about new tools – it is about trust.
At HAYEF AI4EDU 2026 in Istanbul 🇹🇷, Dr. Meltem Aksoy joined the panel “Artificial Intelligence in Education (2W2H)” and discussed trustworthy AI, transparency, fairness, ethics & responsible use.
Key idea: calibrated trust 🧠🤝
AI should neither be trusted blindly nor rejected completely.
https://rc-trust.ai/news/news-detail/trustworthy-ai-enters-the-classroom
#TrustworthyAI #AIinEducation #ResponsibleAI #EthicalAI
RC Trustworthy Data ScienceMay 27
🤖💻 Can AI support industrial code review?
At #ICST2026 in Daejeon 🇰🇷, Meltem Aksoy presented RC Trust research co-authored with Igli Begolli and Daniel Neider on fine-tuned language models for real-world C# code review.
The key takeaway: AI can improve efficiency and support routine tasks – but human expertise remains essential for complex decisions. 🧠🤝
https://rc-trust.ai/news/news-detail/smarter-code-review-still-needs-humans
#TrustworthyAI #SoftwareTesting #CodeReview #ReliableAI
carlosbossMay 22
The EU High-Level Expert Group on Artificial Intelligence (AI HLEG) published its 'Ethics Guidelines for Trustworthy AI' in April 2019, aiming to ensure that AI systems are lawful, ethical, and robust. These guidelines include principles like respect for human autonomy, prevention of harm, fairness, and explicability. The EU plans a piloting phase starting June 2019 to gather feedback on the implementation of these guidelines. #AIethics #TrustworthyAI
RC Trustworthy Data ScienceMay 13
🤖 Hidden instructions shape how AI chatbots behave.
Research from RC Trust by Anna Neumann, Yulu Pi & Jat Singh is featured in the Washington Post 📰
The article explores so-called system prompts and questions of transparency, bias & user control in generative AI.
https://rc-trust.ai/news/news-detail/understanding-the-secret-commands-behind-ai
#AI #ResponsibleAI #TrustworthyAI
AIXPERT projectMay 12

On 30 April, our partner #VectorInstitute joined the AI-Enabled Public Services webinar alongside projects #AI4REALNET, #humAIne, #TANGO, #THEMIS 5.0, and #PEERAI🌍

Responsible AI scientist Shaina Raza will share valuable insights on #accountability and #transparency and what these principles mean for different stakeholders across public services.

Check the recap here: https://zenodo.org/records/20037779

#HorizonEurope #AIforGood #PublicServices #TrustworthyAI

Join HorizonEU Webinar | AI-Enabled Public Services: Building Resilience and Accountability

This Horizon Europe joint webinar focuses on one of the most consequential domains for AI deployment: public services. Bringing together the EU-funded projects HumAIne, TANGO, THEMIS 5.0, and AIXPERT, the session examines why resilience and accountability must be built into AI-enabled public services from the ground up. The discussion focuses on embedding accountability mechanisms, designing resilience in socio-technical systems, and operationalizing compliance with the EU AI Act and related governance frameworks.

Zenodo
RC Trustworthy Data ScienceMay 11
New at RC Trust: Magdalena Wischnewski leads the Young Investigator Group Human Factors in AI Systems 🤖🧠
Her research focuses on how AI shapes human thinking, emotions & decisions – and how trust in AI can be better understood and calibrated.
🔗 https://rc-trust.ai/news/news-detail/understanding-ai-through-the-human-factor
#TrustworthyAI #HumanCenteredAI #UARuhr
RC Trustworthy Data ScienceMay 8
🔎🤖 How does generative AI change web search?
At #ACL2026 🇺🇸, AISOC presents research on:
📄 generative vs. traditional search
🌐 source selection & diversity
⚖️ transparency & trust
💡 Key point: AI doesn’t just retrieve information – it reshapes what users see.
https://rc-trust.ai/news/news-detail/how-generative-ai-is-changing-web-search
#TrustworthyAI #NLP #MachineLearning #AIResearch #DigitalSociety
RC Trustworthy Data ScienceMay 8
🤖✨ Welcome Tamara Stojanovska to AISOC at RC Trust!
Her PhD research focuses on:
🧠 understanding the deeper capabilities of LLMs
🌍 evaluating AI in real-world tasks
🔐 building trustworthy and reliable AI agents
Beyond research:
🏐 volleyball
🍳 cooking
🛼 inline skating
https://rc-trust.ai/news/news-detail/looking-beyond-ai-benchmarks
#TrustworthyAI #MachineLearning #LLMs #AIResearch #PhDLife