Responsible AI Principles, Trade-offs, and Governance by Design
Explore responsible AI principles including fairness, explainability, privacy, and safety. Understand how to evaluate trade-offs and implement governance by design to manage AI risks and ensure accountability in business AI solutions.
Marketing wants the sensitive customer guidance assistant live in four weeks. Compliance asks how the assistant will explain consequential recommendations that use sensitive customer data. The business decision is not only whether the assistant can create value. We must decide whether it can operate within defined responsibility limits.
Responsible AI dimensions are the business qualities that help an organization use AI in ways that are appropriate, trustworthy, and manageable. For this case, they turn broad concerns into requirements that can be evaluated before launch. The AWS Well-Architected Framework Responsible AI Lens offers guidance for considering these practices across the AI lifecycle.
Responsible AI dimensions for customer guidance
Fairness means comparable treatment and outcomes for relevantly similar customers. A business failure occurs if the assistant gives less helpful guidance to one ...