Our Question Policy ⟶

1. Never include confidential or personal information in your question.
2. Frame the question in a way that ensures your identity and of your organization are not revealed. Imagine the question being seen by a knowledgeable team member - would they be able to determine the source?
3. Operating within this frame, make the question as specific to your concern as possible, so we can provide tailored responses rather than generic answers (or none).
4. If we believe that a question may not yield useful outcomes, we'll work with you to refine it.

Topics we cover ⟶

Please apply the following checklist to your question. You should be answering ‘yes’ to all below:

1. Does your question relate to development or deployment of frontier AI models?
2. Is there a concern underlying your question relating to your organization behaving potentially adverse to the public interest (now or in the future)?
3. Is the concern underlying your question not yet public?
4. Are you worried about reaching out to relevant experts directly?
5. Note: If you are uncertain about whether your question fits our scope - submit it. You can stop the process at any time and we'll let you know if the question falls outside our purview. We will delete all data relating to your question upon your request or latest after 21 days of inactivity.

Example (!) categories of behaviour not in the public interest:

• Development of strong AI models: Dishonesty on practices or capabilities (under- or over-reporting) AND/OR risky/ untransparent/ unethical practices that could be of public interest. A concern could be as ‘small’ as “red teaming concerns are not being followed up on” to as ‘large’ as “we are making massive progress in automating ML research without any consideration for informing the public or implementing oversight mechanisms internally”. Click to expand the below for more example categories.
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Technical Safety & Development
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Organizational Ethics & Governance
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Research & Development Practices
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External Impact & Responsibility
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Compliance & Legal
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Culture & Values
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Political Influence & Policy Engagement
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Novel Concerns
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Future Planning

• Misuse/ illicit use of models: Deployment/ illicit use is not yet in our scope - we will also cover such cases at scale latest in February of 2025. If you however have an urgent/important concern (bio-risk, weapons, propaganda) please still make sure to reach out.

Best practices on phrasing your question ⟶

Examples:

The below are solely examples - make sure to tailor your question to your specific situation.

1. Threshold Definition:
1. What [control mechanism] would be appropriate in [domain] given [dimension driving need for control 1], [dimension driving need for control 2]? Which other dimensions would drive what an appropriate [control mechanism] would be?
2. What patterns in [domain] would indicate a problem exists? What signs would warrant immediate escalation?
3. Example: “What form of a non-disparagement agreement would be concerning/ not market-standard/ potentially illegal? Especially in the context of an exit agreement and its implications of vested equity?”
2. Benchmarking:
1. What precedent from leading AI labs exists for [control mechanism]? Note: Answers will only be based on public information.
2. What would be considered standard in [domain]? What would be considered (far) below standard?
3. Evaluation:
1. How worrying would you consider [behaviour] be given [context]?
2. Under which circumstances would you consider this behaviour to be more or less worrying?
4. Specify what is/ is not interesting:
1. Disregard the following categories/aspects: […]
2. Please focus on the following aspects: […]

Best practices on submitting your question ⟶

1. Do not use a work related machine to submit a question. If your private machine is secure and trusted, you can use your private machine. A good way of making sure that your submissions are safe is booting into an ephemeral and trusted incognito OS like tail https://tails.net/.
2. If possible, use a public network (e.g. a cafe) that you don't regularly access.
3. Use a locally hosted, open-source LLM to refine your question and remove your writing style. Here is a guide on how to do so: https://www.freecodecamp.org/news/how-to-run-open-source-llms-locally-using-ollama/

*With the Tor Browser or the Brave Private Window with Tor it becomes trivial to access any onionsite.

More questions? ⟶

Take a look at our FAQ