AI features refer to individual measurable properties or characteristics of phenomena that are used in machine learning and pattern recognition. These features can be numerical or categorical and are crucial for training AI algorithms to recognize patterns, classify data, and make predictions. Examples include age, gender, and pixel counts in images, which are used to create feature vectors that help AI systems understand and process complex data.