Distributed Approach’ to Clinical AI Regulation
Intelligence Artificielle

Distributed Approach’ to Clinical AI Regulation

Public health researchers argue that the centralized regulation of artificial intelligence at the national level is not sufficient for safety, efficacy, and equity. Researchers argue that the national, centralized regulation of clinical artificial intelligence (AI) [… Read more ]

In bias we trust?
Intelligence Artificielle

In bias we trust?

Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds. When the stakes are high, machine-learning models are sometimes used to aid [… Read more ]