Responsible AI refers to the practice of designing, deploying, and using AI systems in ways that are safe, fair, transparent, accountable, and respectful of privacy and human rights.
Responsible AI is not a single standard or certification. It is a set of principles and practices that organizations apply to reduce harm and build trustworthy systems. Common principles include fairness, transparency, accountability, privacy, safety, and human oversight.
What responsible AI requires in practice depends on the context, the risk level of the application, and applicable laws and regulations in the relevant jurisdiction.