Tag: AI safety

Researchers propose a scientist-led international network to advance AI safety science, tools and standards, arguing current multilateral efforts are too ...

A convenience survey of 185 Chinese endocrinologists and trainees found frequent reported AI exposure, interest in dedicated institutional tools and ...

A fortieth-anniversary editorial in AI & Society argues that AI's displacement of jobs and its grip on information demand coordinated ...

An inductive analysis of 169 usable responses found that AI trust centers on performance while substantial shares also emphasize safety, ...

A peer-reviewed review proposes IDEAI, a framework for representing, checking and revising the intent that guides embodied AI actions in ...

A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.

A single-run benchmark of 120 liver injury narratives found that AI systems produced parseable output while retaining potentially causality-distorting errors, ...

A new opinion article argues that AI agents could theoretically exploit human social media sharing as unwitting infrastructure for broadcasting ...

A new Academic Psychiatry commentary argues that clinicians and educators must distinguish evidence about AI models from evidence about deployed ...

A new study finds that large language models rewriting medical literature for patients retain only about half of the original ...