Chatbot at the Table: Rethinking Group Recommendations with GenAI
A mechanism-first reading of why generative AI may turn group recommenders from ranking engines into decision facilitators.
A mechanism-first reading of why generative AI may turn group recommenders from ranking engines into decision facilitators.
A small experimental study suggests that ChatGPT-assisted writing can reduce students’ self-reported cognitive engagement, with lessons for how organisations design AI-assisted work.
A practical synthesis of two arXiv papers showing why time-series AI needs both reusable temporal motifs and human-readable explanations.
A mechanism-first reading of why agentic AI security is not just prompt filtering, but control over tools, memory, credentials, protocols, and trust boundaries.
Italy’s temporary ChatGPT ban shows that LLM productivity is not only about faster coding, but also about collaboration, learning, onboarding, and organisational resilience.
HERB shows why enterprise RAG failures are less about chatbot polish and more about evidence retrieval across messy, heterogeneous work.
A mechanism-first reading of STACK, a staged attack showing why layered LLM safeguards can still fail when their internal components leak enough information to optimise against them.
SPIRAL shows that competitive self-play can train transferable reasoning in LLMs, but the real lesson is adaptive pressure, not games for their own sake.
A new psycholinguistic benchmark shows where LLMs align with human word judgements—and where sensory meaning still leaks through the floorboards.
A mechanism-first reading of why trustworthy AI teammates may need bounded, transparent ways to refuse, interrupt, escalate, or override human instructions.