AI training-data consent
Whether and how a company asks users before using their data to train or improve AI models; shaped by the FTC's 2024 warning on retroactive terms changes and GDPR's right to object.
- US guidance
- FTC, February 2024
- EU basis
- Consent or legitimate interest, with a right to object
Connected
Linked from
- AI data retentionThe rules governing which AI inputs, outputs, logs and derived records remain in a system, for what purpose, and for how long. Not using data for training does not mean that it is not stored.
- Zero data retentionA provider arrangement limiting storage of eligible AI request content, subject to approval, feature coverage and documented exceptions. It does not remove records retained by the customer's own application.
More concepts & methods
- machine learningscientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions
- deep learningspecialized form of machine learning that uses artificial neural networks to identify patterns in data
- genetic algorithmcompetitive algorithm for searching a problem space
- Altitude, depth and rangeFelix Rieseberg’s framework for ambition with AI models: speed repeats work faster, altitude targets outcomes, depth uses expert instruments and range combines disciplines.
- Outcome-based promptingAsking an AI agent to pursue a specified change for a user or system, with evidence and boundaries, instead of merely producing a named deliverable.
- AI outside judgeAn acceptance check outside an agent’s self-assessment, such as a deterministic test, held-out evaluation, measurement or separately briefed reviewer.