Non-engineers can build better AI systems through humane intelligence. In this course, get introduced to practical domain-driven methods for evaluating AI systems against organizational missions, values, and real-world needs. Learn how to conduct human-in-the-loop assessments that test AI systems in meaningful contexts like public health and education. Discover how to identify potential misalignments and biases in AI outputs early in the development cycle. Observe lively discussions and review real-world exercises designed to bring abstract AI concepts into tangible evaluations.
Whether you work on mission-driven teams, lead projects, or are part of policy operations, this course empowers you to make informed decisions about AI adoption. Gain skills in designing taxonomies and ontologies, running AI evaluations, and mitigating risks.
