Researchers built an AI that plays chess like a person, not a super computer

They trained Maia on millions of online games played by humans.

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We mere mortals haven't truly been competitive against artificial intelligence in chess in a long time. It's been 15 years since a human has conquered a computer in a chess tournament. However, a team of researchers have developed an AI chess engine that doesn't set out to crush us puny humans — it tries to play like us.

The Maia engine doesn't necessarily play the best available move. Instead, it tries to replicate what a human would do. The AI emerged as a result of a paper co-authored by researchers from Cornell University, the University of Toronto and Microsoft.

The researchers used the open-source system Leela, which is based on DeepMind's AlphaZero, to develop Maia. They trained the model on individual moves from millions of online human games rather than with the sole aim of winning. Taking this approach allowed the researchers to tune Maia for different skill levels. They trained multiple versions of the AI at a variety of skill levels. They designed nine bots to play with humans who have ratings between 1100 and 1900 (in other words, more novice players to strong amateurs).

In December, the researchers made Maia available on the chess site People played more than 40,000 games against it in the first week. The researchers found that Maia matched human moves more than half of the time at each skill level, with accuracy increasing as the skill level ramped up. They said that the system was able to learn what kinds of mistakes players make at different skill levels and recognize the skill level at which people stop making those errors.