The field of preventing harm from advanced AI systems, spanning alignment, evaluation, and decisions to slow or withhold models whose capabilities outpace their safeguards.
Systems trained on data to learn patterns and make predictions or generate outputs, such as text, images, or decisions, by approximating relationships between inputs and outputs without being explicitly programmed for each task.