Artificial Intelligence (AI) is here today; it's not just the future of technology. It is also not just found in toy robots or Hollywood sci-fi movies. It's embedded in the fabric of your everyday life. Despite AI's promise, certain thinkers are deeply concerned about a time when machines might become fully sentient, rational agents--beings with emotions, consciousness, and self-awareness. "The development of full artificial intelligence could spell the end of the human race," Stephen Hawking told the BBC in 2014.
Toby discusses his early dreams of building thinking machines inspired by science fiction - and covers AI Ethics and current to near term applicability in intelligent systems. Toby Walsh is a leading researcher in Artificial Intelligence. He was recently named in the inaugural Knowledge Nation 100, the one hundred "rock stars" of Australia's digital revolution. He is Guest Professor at TU Berlin, Scientia Professor of Artificial Intelligence at UNSW and leads the Algorithmic Decision Theory group at Data61, Australia's Centre of Excellence for ICT Research. He has been elected a fellow of the Australian Academy of Science, and has won the prestigious Humboldt research award as well as the 2016 NSW Premier's Prize for Excellence in Engineering and ICT.
Artificial intelligence is better than humans at playing chess or go, but still has trouble holding a conversation or driving a car. A simple way to think about the discrepancy is through the lens of "common sense" -- there are features of the world, from the fact that tables are solid to the prediction that a tree won't walk across the street, that humans take for granted but that machines have difficulty learning. Melanie Mitchell is a computer scientist and complexity researcher who has written a new book about the prospects of modern AI. We talk about deep learning and other AI strategies, why they currently fall short at equipping computers with a functional "folk physics" understanding of the world, and how we might move forward. Melanie Mitchell received her Ph.D. in computer science from the University of Michigan.
These technologies are set to turn our perceptions of what a robot is, and how it can help us and the world we live in, upside down. Instead of thinking of robots as large, rigid, and resilient machines, we can view future robots as artificial robotic organisms that have properties mimicking, and greatly extending, the capabilities of natural organisms. The unique properties of softness and compliance make these machines highly suited to interactions with delicate things, including the human body. The impact on humans has been discussed, and yet the true extent of this impact is something we can only guess at. Just as the impact of the Internet and the World Wide Web were impossible to predict, we cannot imagine where future robotics will take us.
This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast. You can watch the full conversation here: http://bit.ly/2NJiCov If you enjoy these, consider subscribing, sharing, and commenting below. Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning.