Google's set of principles and practices for ethical AI development: fairness, privacy, safety, transparency, and accountability, applied through tools such as Security Command Center, IAM, and data governance policies throughout the model lifecycle.
In GENAI-L (Domain 4) it assesses understanding of why transparency and explainability matter for enterprise AI adoption, and what privacy risks (anonymization vs. pseudonymization) must be considered when using customer data.
Responsible AI at Google Cloud is a concept that can show up on the exam. Check the full guide to see it in context.