AI exposes anonymous chess players and poses privacy risks
Software that identifies unique playstyles could lead to better tutorials and gameplay
By Matthew Hutson
Do you think your bishop’s opening, Queen’s Gambit, and pawn play are unique? A new artificial intelligence (AI) algorithm has determined your chess style. AI software can already identify people based on their voice or handwriting. Now, an AI has shown it can tag people based on their chess-playing behavior, an advance in the field of “stylometry” that could help computers be better chess teachers or more human in their game. Alarmingly, the system could also be used to identify and track people who think their online behavior is anonymous.
“Privacy threats are growing rapidly,” said Alexandra Wood, an attorney at the Berkman Klein Center for Internet & Society at Harvard University. She says studies like this, when conducted responsibly, are useful because they “shed light on a significant loss of privacy.”
Chess-playing software like Deep Blue and AlphaZero have long been superhuman. But Ashton Anderson, a computer scientist at the University of Toronto and principal researcher on the new project, says the chess engines play almost an “alien style” that isn’t very educational for those looking to learn or improve their skills. They would do better to tailor their advice to individual players. But first they would need to capture a player’s unique form.
Read full article at “Science” online…