Responsible AI Deployment is the practice of releasing artificial-intelligence systems into production in ways that manage safety, fairness, transparency, and accountability risks throughout the system’s operational lifecycle. It includes staged rollouts, monitoring for drift and harm, documentation such as model cards, and mechanisms for human oversight and rollback. It operationalises broader responsible-AI principles at the point where a model meets real users.