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The 2016 U.S. election was a wake-up call about the dangers of political misinformation on social media. With two more election cycles rife with misinformation under their belts, social media companies have experience identifying and countering misinformation. However, the nature of the threat misinformation poses to society continues to shift in form and targets. The big lie about the 2020 presidential election has become a major theme, and immigrant communities are increasingly in the crosshairs of disinformation campaigns – deliberate efforts to spread misinformation. Social media companies have announced plans to deal with misinformation in the 2022 midterm elections, but the companies vary in their approaches and effectiveness. We asked experts on social media to grade how ready Face...

My colleagues and I changed a digital version of Monopoly so that instead of getting US$200 each time a player passes Go, the player is charged a wealth tax. We didn’t do this to gain an advantage or trick anyone. The purpose is to throw a curveball at artificial intelligence agents that play the game. Our aim is to help the agents learn to handle unexpected events, something AIs to date have been decidedly bad at. Giving AIs this kind of adaptability is important for futuristic systems like surgical robots, but also algorithms in the here and now that decide who should get bail, who should get approved for a credit card and whose resume gets through to a hiring manager. Not dealing well with the unexpected in any of those situations can have disastrous consequences. AI agents need the a...