Accountability in AI means that individuals, organizations, or institutions are responsible for the outcomes and actions of an AI system. When AI systems cause harm, make unfair decisions, or malfunction, there must be mechanisms in place to hold the creators and operators accountable. This ensures that there is recourse and corrective actions can be taken when needed. Building accountability into AI development helps maintain ethical standards, protects users, and fosters trust in AI technology.