Responsible Artificial Intelligence Lifecycle Stage 2: AI System Design

Course overview

Responsible AI Lifecycle Stage 2: AI System Design is the second full micro-credential in the Nursing Essentials of Responsible AI professional certificate. Building on the problem definition and planning skills developed in Stage 1, this course focuses on the design phase of the CHAI Health AI Lifecycle - where clinical insight and technical architecture meet. Participants will learn to contribute meaningfully to AI design decisions by shaping model tasks and architectures, translating clinical and operational goals into technical requirements, and aligning workflows to maintain patient safety, usability, and equity. The course highlights how nurses bridge the gap between front-line care and technical development, ensuring that design choices reflect the realities of practice rather than abstract assumptions. Through the ongoing Harmony Haven Clinic case, learners will follow three AI design pathways - buy, partner, and build - to explore how distinct strategies shape system architecture, data capture, and human-in-the-loop safeguards. These branching narratives reveal how scheduling optimization, documentation assistance, and risk modeling can each be designed responsibly for their unique contexts. By completing this course, you will: - Identify the key elements of an AI model's task and architecture; - Translate business and functional requirements into technical specifications; - Evaluate workflow alignment and patient safety implications; - Outline deployment and monitoring strategies that promote accountability and trust. Earning your AI Data Integrity Advocate badge signals your ability to guide design choices that balance innovation with nursing values - ensuring AI systems are built not just to work, but to work responsibly in the hands of clinicians.