Fingerprinting the Future: Did the EU AI Act Get It Right?
The Rojas case is invoked here not for its emotional weight but as a single, verifiable event that transformed a contested methodology into an authoritative institutional standard. On 29 June 1892, the people of Necochea, a small town in Buenos Aires, woke to horror. Two murdered children, but their mother, Francisca Rojas, was found injured and alive. Police rushed to the scene and arrested a neighbor based on Rojas’s accusations. At first, the case seemed straightforward, with a suspect and a witness.
The Bias Spillover Effect in LLMs: When Fixing One Bias Breaks Another
Imagine a mental health support app powered by artificial intelligence (AI). Its developers notice the app recommends professional help more aggressively to women than to men, a clear gender bias. They fix it, and they succeed. But a few months later, something else surfaces: older users are now receiving shorter, more dismissive responses than younger users for the exact same struggles. Nobody changed anything related to age. So what happened? What happened is the bias spillover effect, scientifically defined as “the unintended alteration of behavior on one social axis when mitigating another” (Mijalli et al., 2023).
TRAIF 2026 Panel on AI Accountability in the Public Sector
A panel on AI Accountability in the Public Sector wrapped up the first day of The Responsible AI Forum on May 19th, 2026. Moderated by Public Interest AI track chairs Nicole Manger and Dalia Yousif Ali, panel participants included Dr. Auxane Boch, Dr. Caitlin Corrigan and Prof. Laura Crompton.
TRAIF 2026 Panel on AI and Education
The last panel of The Responsible AI Forum on May 20th, 2026 closed with a timely discussion on the use of AI in education. Moderated by Prof. Nicole Lønfeldt, the panel brought together experts Prof. Christiane Lütge, Prof. Anne Keune and Prof. Sneha Das to explore the opportunities and risks that AI is already presenting and may pose in the future.
Q&A with PI Christoph Lütge
In this video interview, we speak with Christoph Lütge, Professor of Business Ethics at the Technical University of Munich and Director of the Institute for Ethics in Artificial Intelligence. He introduces himself and his work, presents his doctoral candidates and their research, and explains what motivated him to join the alignAI project.
alignAI Participates at Roundtable at the European Parliament Office
On the occasion of the Munich Security Conference 2026, a roundtable was held at the European Parliament Office in Munich on 13 February, hosted by Ahead in partnership with Bitsight. The roundtable was attended by IEAI Visiting Professor Dr. David Barnes and IEAI alignAI doctoral candidate Julia Li.
Q&A with PI Carlos Zednik
In this video interview, we speak with Carlos Zednik, Assistant Professor at the Eindhoven University of Technology. He introduces himself and his work, presents his doctoral candidates and their research, and explains what motivated him to join the alignAI project.
Navigating Online Mental Health Information: The Role of Value-aligned AI
OpenAI recently released a new product designed to support medical care: ChatGPT Health. They describe this innovation as an “experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared and confident navigating your health” (Introducing ChatGPT Health, 2026). They claim that health is already one of the most common ways people use ChatGPT, and that this platform will increase users’ knowledge, preparation and confidence in managing their health (Introducing ChatGPT Health, 2026). However, while AI-powered health tools may reduce information overload and improve accessibility, their integration into help-seeking processes raises significant ethical questions regarding misinformation, autonomy and bias.
When Algorithms Meet the Mind: AI, Mental Health & Ethics
On 7 May 2026, alignAI doctoral candidate Simay Toplu was an invited guest lecturer at Technical University of Munich as part of Prof. Christoph Lütge’s course on Ethics of Artificial Intelligence.
The Oracle Speaks in Declaratives: When Confident Answers Obscure the Need for Interpretation
For decades, human-computer interaction was built on a comfortable assumption: people click, systems respond and the boundaries are clear. A button is a button, a menu is a menu. When things go wrong, you can often spot the missing step, the frozen cursor, the bad modal window.