Organizations racing to embed AI into business operations are realizing that the risk management frameworks they’ve relied on for decades aren’t built for the behaviors, failure modes, and ethical complexities AI systems introduce.
Fortunately, a new generation of AI-specific frameworks has emerged to give organizations a structured way to identify where AI can go wrong, what controls to put in place, and how to demonstrate responsible AI use to regulators, customers, and investors. Not all of these emerging frameworks address the same problem. Some focus on governance and organizational accountability, others on technical security controls, threat modeling, or regulatory compliance. Choosin...