Accountability in AI refers to the obligation of stakeholders to ensure that artificial intelligence systems are designed, deployed, and managed in a manner that is transparent, ethical, and responsible. It involves mechanisms for tracing decisions, assigning responsibility, and implementing corrective actions when AI systems cause harm or operate in unintended ways.