A recording carries more than its purpose. EEG identifies its owner well enough to authenticate them against another recording, as Marcel and Millán (2007) showed and Campisi and La Rocca (2014) review, so removing a name doesn't anonymize it. It carries states, such as drowsiness, and signs of some conditions. And it carries traits weakly: on studies they never saw, the IntoMind One's age and sex heads score an AUC of about 0.6 for sex and do no better than the mean age, which is weak for a decision about one person and still something nobody agreed to reveal.
What is derived from a recording carries some of the same. An embedding, the encoder's 76 numbers for every four seconds, is built to keep what describes the signal, so it can be as identifying as the signal. A custom AI head is 156 bytes: a name field, the encoder's identity, 76 one-byte weights, a bias, a scale and a hash. It holds no recording, but its weights are the direction in which one person's two states differ, and run on another recording of them, it says when they are in one.
Research EEG is not clinical EEG, and four dry channels can't be read for a diagnosis. A protocol says in advance what happens if a recording looks abnormal, as brain imaging research learned to do for its incidental findings (Illes and others, 2006).