Murray Shanahan, Professor of Cognitive Robotics at Imperial College London, responds to host Sonal Chokshi regarding which sector will win the race in AI development.
Insight
Shanahan: AI can learn world dynamics vicariously through web videos
“What I mean by vicarious embodiment is is that it uses the embodiment of others and to gather data. For example, the enormous repository of videos there are on the internet. There are zillions of videos of people picking up objects and putting things down and …”
Insight
Shanahan: Reinforcement learning progress does not require massive datasets
“Actually, DeepMind are another example of the same thing, because if you want to apply reinforcement learning to games, and that's enabled them to make some quite fundamental sort of progress, you don't need vast amounts of data either.”
Insight
Shanahan: Superintelligent AI will naturally seek self-preservation and resource acquisition
“Anything that's really, really smart is going to have a number of goals that, that anything is going to share, and these are going to be things like self-preservation and gathering resources, if it's sufficiently powerful, then any goal that you can think of, …”
Insight
Shanahan: Machine learning must be embedded within larger cognitive architectures
“I see machine learning as a kind of subfield of artificial intelligence, and it's a subfield that's had tremendously a tremendous amount of success in recent years, and is going to go very, very far, but ultimately, the machine learning components have to be e…”
Prediction Not checkable as stated
Shanahan: Future AI will be an ambient internet presence, not humanoid robots
“In the future, rather than the AI necessarily being the stereotype of a robot standing in front of us, it's going to be something that sort of is, is, is, Hidden away on the internet, and there's a kind of ambient presence that goes with us wherever we go.”
Assertion Supported
Shanahan: DeepMind's published DQN algorithm lacks inner rehearsal capabilities
“For the bit of work that they actually published, I think one of its shortcomings, actually, is that, in fact, although it has done all that learning about what the right action to do in, in the right circumstance is, it doesn't actually do in a rehearsal. It …”