Before revision: In many high-stakes domains such as criminal justice, finance, and healthcare, AI systems may recommend actions to a human expert responsible for final decisions, a context known as AI-advised decision making. When AI practitioners deploy the most accurate system in these domains, they implicitly assume that the system will function alone in the world.
After revision: AI practitioners typically strive to develop the most accurate system in these domains, they implicitly assume that the system will function alone in the world.