Paul Allen is committing $125 million over three years to support the Allen Institute for Artificial Intelligence (AI2) and launch Project Alexandria – a new research initiative on common sense artificial intelligence (AI). Common sense represents one of the most fundamental and difficult problems for AI.
“When I founded AI2, I wanted to expand the capabilities of artificial intelligence through high-impact research,” said Allen. “Early in AI research, there was a great deal of focus on common sense, but that work stalled. AI still lacks what most 10-year-olds possess: ordinary common sense. We want to jump start that research to achieve major breakthroughs in the field.”
While AI has dramatically advanced in the past decade, there are still many things it cannot do, such as unstructured problem-solving or managing unanticipated situations.
“This is an extremely complicated challenge,” Allen said. “If we want AI to approach human abilities and have the broadest possible impact in research, medicine and business, we need to fundamentally advance AI’s common sense abilities.”
The $125 million commitment will fund AI2’s existing projects and the new Project Alexandria. The project will integrate the knowledge developed in machine reading and reasoning (AI2’s Project Aristo), natural language and understanding (AI2’s Project Euclid) and computer vision (AI2’s Project Plato), to create a new unified and extensive knowledge source, which can be used as a foundation for future AI systems to build upon.
“Despite the recent AI successes, common sense—which is trivially easy for people – is remarkably difficult for AI,” said Oren Etzioni, CEO of AI2. “No AI system currently deployed can reliably answer a broad range of simple questions such as: If I put my socks in a drawer, will they still be in there tomorrow? or How can you tell a milk carton is full? For example, when AlphaGo beat the number one Go player in the world in 2016, the program did not know that Go is a board game.”
The path to adding common sense to AI requires years of research and many checkpoints along the way. Major steps for the next few years include introducing standard measurements for the common sense abilities of an AI system; developing novel crowdsourcing methods to acquire common sense knowledge from people at an unprecedented scale; and developing applications that utilize common sense to boost performance for a broad range of practical AI challenges, from machine reading to robotic vision.
“Common sense is the precondition for general intelligence; until we get there we will be stuck with narrow AI that is rarely robust and never as flexible as human reasoners,” said Gary Marcus, Founder of Geometric Intelligence (acquired by Uber) and Professor of Psychology and Neural Science at NYU. “I am hugely excited about Project Alexandria. There’s only been one serious large-scale effort to endow machines with common sense, and it was launched over three decades ago. The time is right for a fresh approach to the problem.”
Project Alexandria is named after the ancient library in Alexandria, Egypt, the fabled repository of texts in the 3rd century BCE.