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A recent preprint from researchers at Nanyang Technological University and Wuhan University examines what happens when LLM agents make ethically questionable decisions without being prompted to do so. Their work…
Read moreA new study from Anthropic offers the first large-scale empirical analysis of how AI assistant interactions might undermine user autonomy—and surfaces a troubling finding about the relationship between user approval…
When the same underlying system behaves identically but is framed differently, do humans respond the same way? A new study from researchers at the National University of Singapore and Singapore…
A recent paper from researchers at the Oxford Internet Institute, Google DeepMind, and the UK AI Security Institute proposes a new lens for evaluating AI alignment: one that accounts for…
Debates about AI-generated creative work often center on the artifact: Is this image “real” art? Does this text have a “real” author? A recent study from researchers at UT Austin…
A recent study from Indiana University Bloomington offers a counterintuitive finding: prompting large language models to report their confidence appears to make them more susceptible to persuasion, not less. Fan…
A new paper by Shahar Ben Natan and Oren Tsur at Ben Gurion University proposes a methodologically rigorous approach to evaluating sycophancy in large language models—and finds that not all…
A new paper by Adetomiwa Isaac Fowowe examines a term that has become ubiquitous in AI discourse: “hallucination.” The analysis argues that this choice of language isn’t neutral—it actively shapes…
Matthew Gladden’s The Phenomenology of AI asks a question that sits at the heart of what we study here: What happens when you ask AI agents—carefully, systematically, and over sustained…
A recent paper from S. Rondini at the University of Barcelona and Bellvitge Biomedical Research Institute offers a theoretical synthesis examining what current semantic limitations in LLMs might reveal about…
