Risk Management is generally an afterthought when it comes to AI projects. Data privacy and security is viewed as a primary barrier to AI implementations, according to a recent Gartner survey. Organizations must form cross-functional teams with a vested interest in AI outcomes, such those in legal, compliance, data and analytics, security and privacy, to work together to ensure the right level of explainability. Drive staff awareness across the organization by leading a formal AI risk education campaign. Eliminate exposures of internal and shared AI data by adopting data protection and privacy programs. Adopt specific AI security measures against adversarial attacks to ensure resistance and resilience.”]