Gary Marcus is one of the more prominent, and controversial, figures in AI. Going beyond his critique on Deep Learning, which is what many people know him for, Marcus puts forward a well-rounded proposal for robust AI

He was not particularly talented at writing, yet became a best-selling author. He is an academic who founded two startups — one acquired by Uber, another just scored $15 million to make building smarter robots easier. He has a humanities background, yet became one of the more prominent, and controversial, figures in AI.

If you know Gary Marcus, then you probably know it’s very hard to summarize someone like him. If you don’t, here’s your chance to change that. Gary Marcus is a scientist, best-selling author, and entrepreneur. Marcus is well known in AI circles, mostly for his critique on — and ensuing debates around — a number of topics, including the nature of intelligence, what’s wrong with deep learning, and whether four lines of code are acceptable as a way to infuse knowledge when seeding algorithms.

Although Marcus is sometimes seen as “almost a professional critic of organizations like DeepMind and OpenAI”, he is much more than that.

As a precursor to Marcus’s upcoming keynote on the future of AI in Knowledge Connexions, ZDNet caught up with Marcus on a wide array of topics. We publish the first part of the discussion today — check back for the second part next week.

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