Data Privacy
Data privacy in artificial intelligence is the set of practices and legal obligations governing the collection, processing, storage and sharing of personally identifiable information. The risk specific to AI is permanence: personal data used in training can become embedded in a model's parameters, where it cannot simply be deleted the way a database record can. Failure exposes organisations to regulatory penalties and loss of stakeholder trust.
In practice
Data privacy is the primary regulatory risk audited during cross-border M&A and platform evaluations. Ask whether personal data ever entered training or fine-tuning, and what the deletion route is when a subject requests erasure. "We would have to retrain the model" is an expensive answer to receive after completion.