Companion notes
Lesson summary
This lesson explains why responsible AI is a practical business skill, not a slogan. Learners practice spotting when AI output needs verification, human review, or a safer workflow.
Key ideas
- AI output can be useful and still require checking.
- High-impact decisions need extra care, evidence, and human accountability.
- Responsible AI includes fairness, reliability, privacy, security, transparency, and accountability.
- For AB-730, the safest answer often includes verification before action.