AI Evaluations for Everyone How Non- Engineers Can Build Better AI Systems with Humane Intelligence
Released 6/2026
With Theodora Skeadas, Annie Brown, Mala Kumar, and Humane Intelligence
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 31m | Size: 263.8 MB
Learn how to evaluate AI systems, align systems with organizational goals, leveraging domain-specific expertise, identify biases, and ultimately make systems more effective and ethical.
Course details
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. Audience: Professionals responsible for AI adoption decisions Mission‑driven teams Organizations deploying AI for social impact or public interest Product managers Program leads Policy teams Content or operations professionals
Skills covered
AI Literacy, Generative AI, Artificial Intelligence (AI), AI Evaluation
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