Richard Zemel Says Your Phone Will Know You Better Than Your Friends Do By This Time Next Year
Get ready for a world where businesses enjoy unprecedented insight into their products and services, and digital assistants become so well personalized that they know you better than your friends and family, according to Canadian AI researcher Richard Zemel.
After returning from the the annual Neural Information and Processing Systems (NIPS) conference in Long Beach, California, the University of Toronto's Richard Zemel had a few insights into the future of the field. He shared his thoughts with U of T News recently.
Related articles
Zemel is a professor of computer science and the research director at the Vector Institute for Artificial Intelligence Research. Google's Geoffrey Hinton is the organization's Chief Scientific advisor.According to Zemel, we need to prepare for a world where businesses enjoy unprecedented insight into their products and services, with digital assistants like Apple's Siri and Amazon's Alexa
becoming ultra-personalized.“It will be like being friends with someone for many years,” predicts Zemel, who spoke on the sidelines of an event at the Creative Destruction Lab (CDL), one of U of T's numerous entrepreneurship hubs. “The computer or phone may know more about you, potentially, than anyone else."
"The computer or phone may know more about you, potentially, than anyone else."
"People know about personalized assistants like Alexa and Siri, but those are just the first generation," Zemel states. "They’re going to get a lot better in the next six to 12 months. They will be able to really understand what you’re asking and be able to formulate answers and get to know you better – not just look things up in your calendar or on the web."
Speech recognition is going to continue to improve he says, but the interactions will also progress dramatically.
"It’s your daily habits, what you do and where you go. So, if people allow it – if you give it access to your emails and photos, what you look at online, watch on TV and the books you read – it’s going to be a much bigger package. It will be like being friends with someone for many years. The computer or phone may know more about you, potentially, than anyone else. So it’s a question of combining all that information and getting a real profile of your tastes."
As personaliziation moves forward, a lot of new questions are coming up. "You will need to allow the [AI] system to see all your personal details. So it becomes a question of whether you’re going to be hesitant to release your personal details because of privacy and fairness issues. So there’s a lot of research now – a really growing field – called fairness in machine learning. I do lot of research in this. In past years, there were just two or three papers at NIPS. This year there were 20."
Speech recognition is going to continue to improve he says, but the interactions will also progress dramatically.
"It’s your daily habits, what you do and where you go. So, if people allow it – if you give it access to your emails and photos, what you look at online, watch on TV and the books you read – it’s going to be a much bigger package. It will be like being friends with someone for many years. The computer or phone may know more about you, potentially, than anyone else. So it’s a question of combining all that information and getting a real profile of your tastes."
As personaliziation moves forward, a lot of new questions are coming up. "You will need to allow the [AI] system to see all your personal details. So it becomes a question of whether you’re going to be hesitant to release your personal details because of privacy and fairness issues. So there’s a lot of research now – a really growing field – called fairness in machine learning. I do lot of research in this. In past years, there were just two or three papers at NIPS. This year there were 20."
SOURCE University of Toronto Top Image- Johnny Guatto
By 
33rd Square |
Embed |
Comments
Post a Comment
Thank you for your comment!