Deep Learning 'Godfather' Yoshua Bengio Worries About China's Use of AI

An anonymous reader quotes a report from Bloomberg: Yoshua Bengio, a Canadian computer scientist who helped pioneer the techniques underpinning much of the current excitement around artificial intelligence, is worried about China's use of AI for surveillance and political control. Bengio, who is also a co-founder of Montreal-based AI software company Element AI, said he was concerned about the technology he helped create being used for controlling people's behavior and influencing their minds. Bengio, a professor at the University of Montreal, is considered one of the three 'godfathers' of deep learning, along with Yann LeCun and Geoff Hinton. It's a technology that uses neural networks -- a kind of software loosely based on aspects of the human brain -- to make predictions based on data. It's responsible for recent advances in facial recognition, natural language processing, translation, and recommendation algorithms.

'This is the 1984 Big Brother scenario,' he said in an interview. 'I think it's becoming more and more scary.' 'The use of your face to track you should be highly regulated,' Bengio said. The amount of data large tech companies control is also a concern. He said the creation of data trusts -- non-profit entities or legal frameworks under which people own their data and allow it be used only for certain purposes -- might be one solution. If a trust held enough data, it could negotiate better terms with big tech companies that needed it, he said Thursday during a talk at Amnesty International U.K.'s office in London. Bengio said there were many ways deep learning software could be used for good. In Thursday's talk, he unveiled a project he's working on that uses AI to create augmented reality images depicting what people's individual homes or neighborhoods might look like as the result of natural disasters spawned by climate change. But he said there was also a risk that the implementation of AI would cause job losses on a scale, and at a speed, that's different from what's happened with other technological innovations. He said governments needed to be proactive in thinking about these risks, including considering new ways to redistribute wealth within society.

Read more of this story at Slashdot.