Lee Sedol

Lee Sedol is a South Korean professional Go player, widely known for his 2016 match against DeepMind’s AlphaGo. His lone win in the five-game series became a landmark in human–AI competition.

AlphaGo: A Go-playing artificial intelligence developed by DeepMind that defeated Lee Sedol in 2016. The program Lee faced in their landmark five-game match.
AlphaGo versus Lee Sedol: A five-game Go match in Seoul in March 2016, won 4–1 by AlphaGo. The event that made Lee’s name widely known beyond professional Go.
Go: A two-player strategy board game in which players surround territory by placing black and white stones on a grid. Lee’s professional career and AlphaGo match were both contests in this game.
Artificial intelligence: The field of creating computer systems that perform tasks associated with human intelligence. The match became a widely watched test of AI capabilities.
DeepMind: An artificial intelligence research company founded in London and acquired by Google in 2014. Its researchers built AlphaGo and organized the match against Lee.
Move 37: An unexpected Go move played by AlphaGo in the second game against Lee Sedol. Lee and commentators initially found the move difficult to interpret.
Monte Carlo tree search: A search algorithm that estimates promising decisions by sampling possible future paths. AlphaGo used search methods to evaluate candidate moves against Lee.
Human–computer competition: Contests in which humans and computer systems compete at a defined task. Lee’s games became a prominent example of people competing against advanced AI.
Gu Li: A Chinese professional Go player and one of the strongest players of his generation. His high-profile matches with Lee helped define elite Go rivalry in the 2010s.
Move 78: A move played by Lee Sedol in the fourth game against AlphaGo, widely regarded as a brilliant tactical play. It helped Lee secure his only victory in the series.

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Computer GoRelated: His match exposed professional players to moves generated by a nonhuman opponent.