This is a terrific distillation, thanks for sharing! I really like the final three sections with implications for short-term, long-term, and policy risks.
For example, in 2019 the U.S. Food and Drug Administration issued a proposed regulatory framework for AI/ML-based software used in health care settings. Less than a week ago, the U.S. Justice Department and the Equal Employment Opportunity Commission released guidance and technical assistance documents around avoiding disability discrimination when using AI for hiring decisions.
These are some great examples of US executive agencies that make policy decisions about AI systems. You could also include financial regulators (SEC, CFPB, Treasury) and national defense (DOD, NSA, CIA, FBI). Not many people in these agencies work on AI, but 80,000 Hours argues that those who do could make impactful decisions while building career capital.
This is a terrific distillation, thanks for sharing! I really like the final three sections with implications for short-term, long-term, and policy risks.
These are some great examples of US executive agencies that make policy decisions about AI systems. You could also include financial regulators (SEC, CFPB, Treasury) and national defense (DOD, NSA, CIA, FBI). Not many people in these agencies work on AI, but 80,000 Hours argues that those who do could make impactful decisions while building career capital.