In the age of AI—Artificial Intelligence—we must ask again: what is intelligence? Today, we recognize that intelligence is surely far more than what an IQ test measures. Intelligence is also much more than a computer (or human) playing chess or passing the Turing Test. For Geoffrey Hinton, the Godfather of AI, intelligence is the ability to think analogically. For the first generation of AI—symbolic AI—intelligence was about rules and deductive reasoning. Contemporary neural-network AI, however, is less about applying rules to data and more about pattern recognition, particularly in vast datasets. Interestingly, Chinese and Eastern thought has long emphasized such pattern recognition, whereas Western thought has been based on axioms, theorems, and deductive thinking. Yet Hinton’s analogic intelligence goes beyond pattern recognition; it involves thinking across boundaries—lateral thinking. It is as much about imagination as it is about cognition, as much about art and fiction as it is about science. Is this the essence of thinking “out of the box”? Most humans struggle with this, but can machines do it? The audience will have the opportunity to engage with this fundamental question of what intelligence truly is.