Beginner
What is AI safety?
AI Safety is the interdisciplinary field and set of practices focused on preventing harm from AI systems. It includes reliability, misuse prevention, bias and error mitigation, alignment with human values, and analysis of both near-term and long-term risks.
How is risk different from harm?
Use risk for potential adverse outcomes before or during assessment; use harm for the adverse effect that has occurred or may be concretely described.
What is a safety case for AI?
An AI safety case is a documented argument, supported by evidence, that an AI system is acceptably safe for a defined use and operating context. It is especially relevant for higher-risk sectors where assurance must be explicit, reviewable, and maintained over time.
What is model drift?
Model drift is the degradation or change in model performance over time as real-world data, user behavior, or operating conditions diverge from the data used during training or evaluation. Detecting drift is important for deciding when to retrain, recalibrate, or replace a model.