This whitepaper first summarizes the opportunities and challenges of AI systems and then goes on to present the state of the art of AI system auditability with a focus on the aspects AI life cycle, online learning and model maintenance in the presence of drift, adversarial and backdoor poisoning attacks and defenses against these attacks, verification, auditing of safety-critical AI systems, explaining black-box AI models and AI standardization.