Since the 1950s, artificial intelligence has repeatedly overpromised and underdelivered. While recent years have seen incredible leaps, AI today is still narrow: it cannot generalize to adapt to changing environments and is riddled with bias. All these challenges make the technology difficult to trust and limit its potential to benefit society.
On March 26 at MIT Technology Review’s annual EmTech Digital event, two prominent figures in AI took to the virtual stage to debate how the field might overcome these issues:
Gary Marcus, professor emeritus at NYU, a well-known critic of deep learning and Danny Lange, vice president of AI and machine learning at Unity, a strong proponent of deep learning.
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