Machine-learning tools help Wikipedia editors by suggesting improvements and flagging suspicious edits, enabling volunteers to focus their expertise where it matters most. These innovations ensure Wikipedia’s knowledge remains accurate, up-to-date, and trustworthy. To be clear, people are always making decisions about what goes in the articles on Wikipedia. These new tools simply help them with articles that need immediate attention.

Case Study: During a major global event, machine learning detected vandalism in seconds, alerting volunteers immediately and cutting harmful content visibility from hours to minutes — a victory for speed, accuracy, and human stewardship of knowledge.