Artificial intelligence governance frequently begins with a technical question: How capable is the system? That question matters. A more capable system may produce better predictions, recommendations and decisions. But consequential AI requires a second question that is fundamentally different: Who …
Every generation delegates. We delegate memory to writing. Calculation to calculators. Navigation to maps. Search to engines. The ability to externalize cognitive work is one of humanity’s greatest advantages. Artificial intelligence dramatically expands that possibility. Children may soon be able …
Human economies are shaped by scarcity. Skills matter partly because they are difficult to acquire. Expertise commands value because relatively few people possess it. Information matters because finding, processing or interpreting it has historically required time and capability. Artificial intelligence …
“Human-in-the-loop” has become one of the most reassuring phrases in artificial intelligence governance. The idea appears sensible. If an AI system makes or influences consequential decisions, keep a human involved. But there is a problem. Human presence does not necessarily …
Artificial intelligence may become one of the most powerful educational technologies humans have ever created. It can explain a difficult concept repeatedly without becoming impatient. It can adapt examples to a student’s interests. It can translate information, generate exercises, identify …
Artificial intelligence is rapidly expanding the range of activities that no longer require another human being. We can ask a machine to explain an idea, evaluate an argument, draft a letter, recommend a strategy, interpret information, teach a concept or …
