Mitigating environmental public health risks via artificial intelligence: mechanisms and boundary conditions
Higher levels of artificial intelligence were associated with lower environmental public health risks in the principal fixed-effects models, and the negative relationship remained consistent across alternative measurement, additional digital-infrastructure controls, winsorization, and concurrent policy specifications.