Module 08 / 08
Safety & Governance
Understand how frontier systems are evaluated, governed, and constrained.
The point
Capable AI systems create product, security, policy, and social risks. Builders need enough safety literacy to make better decisions.
Start with
Read next
Perspectives, not evidence
Understanding check
You should be able to…
- explain why agentic systems need different controls
- identify misuse, overreliance, privacy, and security risks
- read a system card or safety report critically
- separate technical evidence, economic forecasts, and advocacy
- design a basic risk review for an AI product
Practice with an agent
Test the boundaries before launch
intermediate · the evolving course product, markdown, product logs
Make
an abuse-case exercise covering permissions, private data, overreliance, and one plausible misuse path
You know it works when
show the attempted failures, observed behavior, mitigation, monitoring signal, and what would block launch
Go deeper by building
Write a launch risk review
advanced · markdown, product spec, eval results, abuse-case checklist
Make
a concise risk review for one AI feature before launch
You know it works when
include risks, mitigations, monitoring, and a decision on what blocks launch