Browsing: language

Early life stress is a significant risk factor for psychopathology; however, we lack scalable tools to identify youths who are most vulnerable. Here we tested whether the automated analysis of naturalistic speech can predict future mental health outcomes. We applied a multimodal suite of natural language processing techniques to comprehensive stress interviews with 204 youths…

A team of psychologists, computer scientists, and physicists from Italy, Slovenia, and South Korea has proposed seven “fault lines” between human and artificial intelligence (AI). The researchers question the extent to which AI is yielding intelligence, at least in the same form as human intelligence. The authors note the critical shift that occurred between statistical…

Current fairness evaluations of large language models (LLMs) deployed in healthcare settings largely focus on explicit statements about health-related stigma. Here we show that this may overestimate safety by contrasting explicit stigma-scale scores with contextual judgements in 51 scenarios. Across six LLMs and three high-stigma domains (human immunodeficiency virus (HIV), hepatitis B virus (HBV) and…