Yoshua Bengio is a grandmaster of modern artificial intelligence.
Alongside Geoff Hinton and Yan LeCun, Bengio is famous for championing a technique known as deep learning that in recent years has gone from an academic curiosity to one of the most powerful technologies on the planet.
Deep learning involves feeding data to large, crudely-simulated neural networks, and it has proven incredibly powerful and effective for all sorts of practical tasks, from voice recognition and image classification to controlling self-driving cars and automating business decisions.
Bengio has resisted the lure of any big tech company. While Hinton and LeCun joined Google and Facebook respectively, he remains a full-time professor at the University of Montreal. (He did, however, cofound Element AI in 2016, a company that built a very successful business helping big companies explore the commercial applications of AI research.)
Bengio met with MIT Technology Review’s senior editor for AI, Will Knight, at an MIT event recently.
What do you make of the idea that there’s an AI race between different countries?
I don’t like it. I don’t think it’s the right way to do it.
We could collectively participate in a race, but as a scientist and somebody who wants to think about the common good, I think we’re better off thinking about how to both build smarter machines and make sure AI is used for the wellbeing of as many people as possible.
Are there ways to foster more collaboration between countries?
We could make it easier for people from developing countries to come here. It is a big problem right now. In Europe or the US or Canada it is very difficult for an African researcher to get a visa. It’s a lottery, and very often they will use any excuse to refuse access. This is totally unfair. It is already hard for them to do research with little resources, but in addition if they can’t have access to the community, I think that’s really unfair. As a way to counter some of that, we are going to have the ICLR conference [a major AI conference] in 2020 in Africa.
Inclusivity has to be more than a word we say to look good. The potential for AI to be useful in the developing world is even greater. They need to improve technology even more than we do, and they have different needs.
Are you worried about just a few AI companies, in the West and perhaps China, dominating the field of AI?
Yes, it’s another reason why we need to have more democracy in AI research. It’s that AI research by itself will tend to lead to concentrations of power, money, and researchers. The best students want to go to the best companies. They have much more money, they have much more data. And this is not healthy. Even in a democracy, it’s dangerous to have too much power concentrated in a few hands.
There has been a lot of controversy over military uses of AI. Where do you stand on that?
I stand very firmly against.
Even non-lethal uses of AI?
Well, I don’t want to prevent that. I think we need to make it immoral to have killer robots. We need to change the culture, and that includes changing laws and treaties. That can go a long way.
Of course, you’ll never completely prevent it, and people say, “some rogue country will develop these things.” My answer is that one, we want to make them feel guilty for doing it, and two, there’s nothing to stop us from building defensive technology. There’s a big difference between defensive weapons that will kill off drones, and offensive weapons that are targeting humans. Both can use AI.
Read the source article at MIT Technology Review.