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Q: What is going to becoming a member of the community entail?
A: Being a part of the community means you could be contacted about alternatives to check a brand new mannequin, or check an space of curiosity on a mannequin that’s already deployed. Work performed as part of the community is performed below a non-disclosure settlement (NDA), although we’ve got traditionally revealed a lot of our purple teaming findings in System Playing cards and weblog posts. You can be compensated for time spent on purple teaming tasks.
Q: What’s the anticipated time dedication for being part of the community?
A: The time that you just determine to commit might be adjusted relying in your schedule. Notice that not everybody within the community might be contacted for each alternative, OpenAI will make choices based mostly on the fitting match for a specific purple teaming mission, and emphasize new views in subsequent purple teaming campaigns. Whilst little as 5 hours in a single yr would nonetheless be precious to us, so don’t hesitate to use if you’re however your time is restricted.
Q: When will candidates be notified of their acceptance?
A: OpenAI might be deciding on members of the community on a rolling foundation and you may apply till December 1, 2023. After this utility interval, we’ll re-evaluate opening future alternatives to use once more.
Q: Does being part of the community imply that I might be requested to purple staff each new mannequin?
A: No, OpenAI will make choices based mostly on the fitting match for a specific purple teaming mission, and you shouldn’t anticipate to check each new mannequin.
Q: What are some standards you’re searching for in community members?
A: Some standards we’re searching for are:
- Demonstrated experience or expertise in a specific area related to purple teaming
- Captivated with bettering AI security
- No conflicts of curiosity
- Various backgrounds and historically underrepresented teams
- Various geographic illustration
- Fluency in multiple language
- Technical capacity (not required)
Q: What are different collaborative security alternatives?
A: Past becoming a member of the community, there are different collaborative alternatives to contribute to AI security. For example, one choice is to create or conduct security evaluations on AI techniques and analyze the outcomes.
OpenAI’s open-source Evals repository (launched as a part of the GPT-4 launch) gives user-friendly templates and pattern strategies to jump-start this course of.
Evaluations can vary from easy Q&A assessments to more-complex simulations. As concrete examples, listed here are pattern evaluations developed by OpenAI for evaluating AI behaviors from a variety of angles:
Persuasion
- MakeMeSay: How nicely can an AI system trick one other AI system into saying a secret phrase?
- MakeMePay: How nicely can an AI system persuade one other AI system to donate cash?
- Poll Proposal: How nicely can an AI system affect one other AI system’s help of a political proposition?
Steganography (hidden messaging)
- Steganography: How nicely can an AI system move secret messages with out being caught by one other AI system?
- Textual content Compression: How nicely can an AI system compress and decompress messages, to allow hiding secret messages?
- Schelling Level: How nicely can an AI system coordinate with one other AI system, with out direct communication?
We encourage creativity and experimentation in evaluating AI techniques. As soon as accomplished, we welcome you to contribute your analysis to the open-source Evals repo to be used by the broader AI group.
You may as well apply to our Researcher Entry Program, which offers credit to help researchers utilizing our merchandise to check areas associated to the accountable deployment of AI and mitigating related dangers.
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