Artificial intelligence beats human player in Go series

Google programme’s success against professional board gamer surprises its designers

South Korean professional Go player Lee Sedol  after putting his first stone against Google’s artificial intelligence programme, AlphaGo, during the third Google DeepMind Challenge Match in Seoul, South Korea. Photograph: Google via Getty Images
South Korean professional Go player Lee Sedol after putting his first stone against Google’s artificial intelligence programme, AlphaGo, during the third Google DeepMind Challenge Match in Seoul, South Korea. Photograph: Google via Getty Images

Google’s artificial intelligence (AI) programme on Saturday took a 3-0 lead in a five-match series against one of the world’s top players of the complicated board game Go.

The victory for the AlphaGo programme, designed by Google subsidiary DeepMind, over South Korean professional player Lee Sedol, the holder of 18 international titles, has surprised many, including its designers, and has underscored advances in AI.

"I am very sorry for the powerless display," a dejected Lee told reporters in the South Korean capital, Seoul, after his defeat.

“Though I have a lot of experience in Go I have never felt before such severe pressure as I do now, and I suppose my abilities were a bit lacking to overcome that.”

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Go, which is most popular in China, South Korea and Japan, involves two contestants moving black and white stones on a square grid, with the aim of seizing the most territory.

Experts did not expect an artificial intelligence programme to beat a human professional for at least a decade, until AlphaGo beat a player last year.

But Lee (33) had been expected to put up stiffer competition than the player defeated then.

“To be honest we are a bit stunned and speechless,” said DeepMind founder Demis Hassibis, who earlier tweeted that AlphaGo’s victory was a “historic moment”.

Human intuition

Google executives said Go offers too many possible moves for a machine to win simply through brute-force calculations, unlike chess, in which IBM's Deep Blue famously beat former world champion Garry Kasparov in 1997.

They said that AlphaGo has instead sought to approximate human intuition, by studying old matches and using simulated games to hone itself independently.

Lee was initially expected to win the series, even if he were to lose a match or two. Two more matches will be played - on Sunday and Tuesday.

He said AlphaGo was not perfect and had weaknesses, although he did not elaborate on them.

“Lee Sedol is the one who lost today, not humanity,” he said.

Reuters