An AI expert says Google's Go-playing program is missing 1 key feature of human intelligence
AlphaGo, a software program developed by British AI company Google DeepMind, has defeated Korean Go champion Lee Sedol in two out of five matches so far. It will play its third match at 10:30 p.m. EST Friday night, streamed live on YouTube . (By tradition, they will play all five matches regardless of the outcome.)
If AlphaGo beats Sedol in this tournament, it will cement its place in the annals of AI history.But how long will it be before machines can match human-level intelligence in the real world? We asked an expert on artificial intelligence, computer scientist Richard Sutton of the University of Alberta in Canada.
An 'unprecedented' feat
And this victory is all the more impressive because Go has exponentially more possible moves than chess, making it a much harder problem for a machine to solve, even with today's computing power.
Go is played with black and white game pieces, or "stones," on a 19 x 19 grid board. Each player places the stones on the board in an attempt to surround the opponent's pieces. The goal is to surround the largest area of the board by the game's end, which is reached when neither player wishes to make another move.
According to Sutton, AlphaGo's success can largely be traced to a combination of the following two powerful technologies:
- Monte Carlo tree search: This involves choosing moves at random and then simulating the game to the very end to find a winning strategy
- Deep reinforcement learning: A multi-layered neural network that mimics brain connections, which contains of a "policy network" that selects the next move and a "value network" that predicts the winner of the game
But when it comes to big-picture intelligence, Sutton said, AlphaGo is missing one key thing: the ability to learn how the world works - such as an understanding of the laws of physics, and the consequences of one's actions.
The missing piece
However, games like Go have a clear set of rules, so AlphaGo can follow those rules to achieve its goal. "But in real life, we don't have the rules of the game, and we don't know the consequences of our actions," Sutton said.
That said, Sutton doesn't think we're that far away from developing AIs that can function at a human level in the world.
"There's a 50% chance we figure out [human-level] intelligence by 2040 - and it could well happen by 2030," he said.
It's something we need to prepare for, he added, though he didn't specify how.
Other experts agree that AI is progressing much faster than we thought. AI expert Stuart Russell, a professor of computer
But that's not a reason to panic about AI. "I don't think people should be scared," Sutton said, "but I do think people should be paying attention."
You can watch AlphaGo's third match against Lee Sedol here :