Responsible AI is the practice of designing, developing, deploying, and governing AI systems in ways that are safe, lawful, ethical, transparent, and aligned with human values. It includes controls for fairness, accountability, privacy, robustness, explainability, and risk management across the AI lifecycle.
Practices ensuring AI systems are safe, ethical, transparent and aligned to human values. In Australia, anchored by government guardrails, privacy law and recognised standards.
A side-by-side comparison of Trustworthy AI and Responsible AI. Understand how one term describes qualities that support reliance on AI, while the other describes the practices used to govern AI responsibly.
A side-by-side comparison of Ethical AI and Responsible AI. Understand how ethics-oriented principles differ from the broader practice of governing AI systems safely, lawfully, and transparently.