Definition
Compliance for AI refers to the adherence to established laws, regulations, ethical guidelines, and organizational policies when developing, deploying, and managing artificial intelligence systems. It ensures that AI technologies are created and used in a manner that is fair, transparent, accountable, and respects individual rights and societal values. This involves implementing robust data governance, bias detection and mitigation strategies, and security protocols throughout the AI lifecycle. Understanding and implementing AI compliance is crucial for mitigating risks, building trust with users and stakeholders, and avoiding legal and reputational damage. For instance, a financial institution must ensure its AI credit scoring models comply with fair lending laws by actively auditing for and correcting discriminatory outcomes. This differs from AI ethics, which focuses on the moral principles guiding AI development, whereas compliance focuses on meeting mandatory requirements. Concepts related to AI compliance frequently appear in advanced IT security certifications and project management domains like PMP and PMI-ACP.