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Latest news from the alignAI doctoral network:

Doctoral Candidates - Julia Li

Q&A with DC Julia Li

In this video interview, we speak with Julia Li, doctoral candidate in the alignAI project at the Technical University of Munich Institute for Ethics in Artificial Intelligence. She introduces herself and her research on human values and AI alignment, explaining what inspired her to join alignAI and which aspects of aligning AI with human values she finds most compelling.

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Yung-Chen Tang ACL 2026

When AI Learns Something New, Does It Stay Safe? AI Safety at ACL 2026

The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) took place in San Diego from 2–7 July 2026. As one of the leading international conferences in natural language processing, ACL brought together researchers from around the world to exchange ideas on large language models, AI safety, alignment, evaluation and other emerging directions in language technologies. alignAI Doctoral Candidate Yung-Chen Tang attended the conference and presented the paper “Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets”.

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Situating Alignment Work

Whose Values Shape the Model? — On Situating AI Alignment

In the film Humans in the Loop, there is a scene with a woman named Nehma, who works as a data labeller in a rural data-labelling centre in India. Nehma is tasked with annotating images of insects so that an AI-powered agricultural machine can identify and target them. Her American client needs her to label these insects as pests. When shown an image of a leaf-eating caterpillar, Nehma refuses to mark it as a pest. Drawing on traditional ecological knowledge, she explains that the caterpillar only eats the decaying parts of the leaf, allowing the rest of the plant to survive and thrive. Her manager tells her to follow the guidelines strictly, rather than applying her own understanding of what counts as a pest.

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Why We Bond with Chatbots

Why We Bond with Chatbots: The Psychology Behind AI Mental Health Tools

In 1956, researchers Horton and Wohl described something they had noticed about television audiences: people were forming genuine emotional bonds with personalities they had never met and never would. They felt affection, familiarity, even concern for figures who had no awareness of their existence. Horton and Wohl called these parasocial relationships and at the time the phenomenon was mostly treated as a curiosity of broadcast media.

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Self-aware AI

Self-aware AI…or Just Reasoning Machines?

When the Terminator films first depicted Skynet becoming self-aware, the moment was presented as a turning point not only for humanity, but for the idea of intelligence itself. In the film, this “self-awareness” meant more than simply processing information or adapting to input. It signified the recognition of one’s own existence, the ability to formulate independent goals and the emergence of a self-preservative instinct.

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