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Latest news from the alignAI doctoral network:

Communicating AI Ethics in Research and Practice

TRAIF 2026 Communicating AI Ethics: in Research and Practice

On May 19th, 2026, Andrea Martin, Boris Abramovic and Dr. Loreta Tauginienė presented during the Communicating AI Ethics: in Research and Practice session at the 2026 The Responsible AI Forum (TRAIF) held at Amerikahaus in Munich. The session was moderated by Communicating AI Ethics track chair Dr. Catarina Fontes.

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How Do We Evaluate a RAG System

How Do We Evaluate a RAG System? An Overview of Current Approaches

If you have been following the rapid rise of large language models (LLMs), you have likely also run into retrieval-augmented generation (RAG) systems. When we need an LLM to answer domain-specific questions without hallucinating, we hook it up to a library of documents so it can search for the right context before answering. It is a highly effective way of “teaching an LLM to use a library”, as previously explained in another blogpost.
But once you build a RAG system, a critical question emerges: How do you actually know if it is working well?

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TRAIF2026 Juliet Arthur

Juliet Arthur Presents on Behalf of Ama Branoa Banful at the 2026 The Responsible AI Forum (TRAIF)

On May 19th, 2026, Juliet Arthur presented on behalf of Generative AI, LLMs and Societal Value Alignment track travel grant winner Ama Branoa Banful at the 2026 The Responsible AI Forum (TRAIF) held at Amerikahaus in Munich. During the AI Governance in Institutional and Regulatory Contexts session, Ms. Arthur presented: “Governing the Use of Generative AI in Public and Civic Decision-Making Contexts”.

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TRAIF2026 Dr. Youngsam Chun

Dr. Youngsam Chun Presents at the 2026 The Responsible AI Forum (TRAIF)

On May 19th, 2026, Generative AI, LLMs and Societal Value Alignment track travel grant winner Dr. Youngsam Chun presented at the 2026 The Responsible AI Forum (TRAIF) held at Amerikahaus in Munich. During the Philosophical and Technical Foundations of Value Alignment session, Dr. Chun presented: “MORAL-GRAPH: A Geometric and Graph-based Framework for Human-LLM Value Alignment”.

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When AI Becomes a Learning Partner

When AI Becomes a Learning Partner: How Can We Preserve Learner Agency in Education?

A student sits down to write an essay, solve a programming exercise or prepare for an exam. Instead of searching through textbooks or waiting for office hours, they open an AI assistant. The system offers explanations, suggests what to try next and responds when the student asks follow-up questions. In many ways, this looks like a breakthrough for education: support is available at any time, at low cost and in a conversational form.

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