While there may be general agreement on a high-level framework that checks all the boxes–AI should be safe, effective, trustworthy, privacy-preserving, and non-discriminatory–“what that really means is that regulatory agencies will have to figure out how to give content to such principles, which will involve tough judgment calls and complex tradeoffs,” says Daniel Ho, a professor who oversees an artificial intelligence lab at Stanford University and is a member of the White House’s National AI Advisory Committee.