Lesson 2226 of 2244
AI Bug Bounty Programs
Bug bounty programs find issues internal teams miss. AI bug bounties have specific design considerations.
Adults & Professionals · Safety & Governance · ~7 min read
The premise
AI bug bounties find issues; design considerations specific to AI matter.
What AI does well here
- Define scope (model behavior, prompt injection, data leakage)
- Compensate fairly per finding severity
- Coordinate with researcher community
- Act on findings substantively
What AI cannot do
- Substitute bounties for internal safety work
- Catch every issue through bounties
- Make every bounty researcher happy
Key terms in this lesson
Practice this safely
Use a real but low-risk workflow from your day. Treat AI as a drafting and organizing layer, then verify the output before anyone relies on it.
- 1Ask AI to explain bug bounty in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Bug Bounty Programs" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check AI specific against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
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