Translating languages and driving cars were once tasks that could only be completed by humans until recent progress in artificial intelligence made it possible for AIs to perform such skills. These AIs, however, have to be trained exhaustively on a specific skill. In an article for the The Conversation, a group of researchers, including U-M engineering professor John E. Laird, discuss that ultimately, AGIs (Artificial General Intelligence) need to be able to interact effectively with each other and people in various physical environments and social contexts, integrate the wide varieties of skill and knowledge needed to do so, and learn flexibly and efficiently from these interactions.
