A learning paradigm where AI systems incrementally learn from new data while preserving prior knowledge (avoiding "catastrophic forgetting"). Continual learning systems may evolve in ways that affect prior representations about behavior; governance often addresses ongoing changes.
See: Model drift; Model update; Training