Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where safety is of critical importance. A recent report and webinar explored how to improve the performance and safety of machine learning in these settings.

The U.S. scientific enterprise has produced significant advances in technologies and medicines for the nation but is being held back by uncoordinated regulations and policies. A new National Academies report examines the landscape of federal regulations and outlines policy options to alleviate administrative and regulatory burden.