AI risk mitigation is the process of identifying, assessing, and reducing the potential threats associated with the development and use of AI systems. It involves proactively managing risks - such as bias, security vulnerabilities, privacy concerns, and unintended behaviors - to ensure AI systems are safe, ethical, reliable, and compliant with regulations.

‍Why it matters: Proactively reducing AI risks supports safer deployment, regulatory compliance, and long-term trust in AI systems.