Your submission is now in Draft mode.

Once it's ready, please submit your draft for review by our team of Community Moderators. Thank you!

Submit Essay

Once you submit your essay, you can no longer edit it.


This content now needs to be approved by community moderators.


This essay was submitted and is waiting for review.

Will Google's AlphaGo beat Go player Lee Sedol in March 2016?


The game of Go originated in China more than 2,500 years ago. While similar to chess in many ways, Go is much more minimalist in its ruleset and more esoteric in strategy. The aspect of pattern recognition and the huge state space of possible moves in Go (vastly greater than chess) make it an excellent metric for the capabilities of artifical intelligence.

Whereas DeepBlue defeated chess grandmaster Gary Kasparov in 1997, it has taken 20 years for computer Go systems to become competitive with top human players. Recently, dramatic advances in "deep learning" AI systems have led to the development of much more competitive Go software.

In a previous question we asked if a computer Go system would defeat a professional player in 2016. In this question the stakes go up.

Google's DeepMind recently announced that their Go-playing program AlphaGo defeated European Go champion Fan Hui in a closed-door game, and will be playing against the reigning Go world champion, Lee Sedol, in a five-game match in March. Will AlphaGo win?

This question will resolve positively if AlphaGo finishes five official games against Lee Sedol and wins three or more games, or if Lee Sedol concedes defeat. If AlphaGo loses or if the match is not finished by April 1 2016, the question resolves negatively.

Make a Prediction


Note: this question resolved before its original close time. All of your predictions came after the resolution, so you did not gain (or lose) any points for it.

Note: this question resolved before its original close time. You earned points up until the question resolution, but not afterwards.

Current points depend on your prediction, the community's prediction, and the result. Your total earned points are averaged over the lifetime of the question, so predict early to get as many points as possible! See the FAQ.