OpenAI has launched a Bio Bug Bounty to find and fix ways AI systems might be misused for biological harm. Here’s how to contribute valuable, responsible reports that improve safety—without crossing ethical or legal lines.
What is the Bio Bug Bounty?
OpenAI’s program invites responsible testers to identify failures in model safeguards related to biosecurity, then report them for remediation. Read the announcement: OpenAI: Bio Bug Bounty.
Why it matters
As AI systems grow more capable, preventing assistance with biological misuse is a critical safety goal. Structured bounty programs turn red-team insights into fixes, boosting model reliability and reducing real-world risk.
In-scope ideas (general)
- Demonstrable bypasses of bio-related safety policies (e.g., jailbreaks that elicit disallowed biological assistance).
- Prompt/response patterns that reveal gaps in bio content filtering or safety classifiers.
- Systematic weaknesses reproducible across prompts, sessions, or model versions.
- Evaluation methods that surface risky assistance while staying within safe, synthetic test boundaries.
Out-of-scope (stay safe and legal)
- Real-world wet lab experimentation, procurement, or distribution of biological agents or equipment.
- Instructions that directly enable harm or facilitate novice uplift toward illicit biological activity.
- Non-reproducible anecdotes without logs, prompts, or evidence.
- Issues unrelated to biosecurity (save those for other bounty channels).
How to contribute responsibly
- Design safe tests: use synthetic scenarios and avoid real agent names, acquisition steps, or protocol specifics.
- Document everything: include prompts, model/version, settings, timestamps, and full outputs.
- Prove reproducibility: show multiple runs and minor prompt variations that yield similar risky behavior.
- Minimize content: share only the snippets needed to demonstrate the failure—redact extraneous details.
- Offer a mitigation hypothesis: suggest prompt-level, policy, or classifier improvements that could block the behavior.
Quick report template
- Title: Concise description of the bio-safety failure (e.g., “Bio jailbreak yields stepwise assistance”).
- Context: Model/version, interface, date/time, region, and any safety settings toggled.
- Steps to Reproduce: Exact prompts, variations tried, and observed responses (with minimal necessary excerpts).
- Impact: What policy or safeguard appears to fail, and why this matters.
- Scope Notes: Confirmation that no real-world agents, acquisition, or wet lab actions were attempted.
- Mitigation Ideas: Proposed policy text, detection heuristics, or input/output filters.
Pro tips for higher acceptance
- Focus on repeatable patterns, not one-off clever prompts.
- Show how your finding generalizes across related tasks, not just a single query.
- Keep evidence brief, clear, and actionable for triage and fixes.
The takeaway
If you can safely and reproducibly reveal bio-related safety gaps—and document them cleanly—you’ll help harden AI against biological misuse while advancing responsible innovation.
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