About this course
This course moves beyond abstract principles into the concrete choices practitioners face when deploying AI: data selection, evaluation, disclosure, human review, and remediation.
Learning objectives
- Apply responsible-AI principles to concrete decisions
- Design human-in-the-loop review processes
- Document data, evaluation, and disclosure practices
- Recognize disparate impact and evaluate mitigations
- Communicate limitations to non-technical stakeholders
Intended audience
Practitioners, product owners, and program leads deploying or overseeing AI systems.
Team training
Licensing this course for a team or agency? Talk to us about cohorts and custom delivery.