6 terms
AI data leakage is the unintended exposure of personal or confidential data through AI systems, via prompts, training data, model outputs or integrations.
An AI training opt-out is a setting, signal or request that stops a provider from using a person's data or content to train its AI models.
Chat history retention defines how long an AI assistant provider stores conversations, in which copies, for what purposes and how deletion really works.
Federated learning trains a shared machine learning model across many devices or organizations while raw training data stays where it was collected.
Model memorization is when a machine learning model stores specific training examples, so personal data may later be extracted or inferred from the model.
Training data consent is the permission individuals give for their personal data or content to be used to train machine learning and AI models.