Q: What is going to becoming a member of the community entail?
A: Being a part of the community means it’s possible you’ll 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 now we have traditionally revealed a lot of our purple teaming findings in System Playing cards and weblog posts. You may be compensated for time spent on purple teaming initiatives.
Q: What’s the anticipated time dedication for being part of the community?
A: The time that you just resolve to commit will be adjusted relying in your schedule. Notice that not everybody within the community might be contacted for each alternative, OpenAI will make alternatives primarily based on the proper match for a specific purple teaming undertaking, and emphasize new views in subsequent purple teaming campaigns. At the same time as little as 5 hours in a single 12 months would nonetheless be worthwhile 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 choosing members of the community on a rolling foundation and you’ll 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 alternatives primarily based on the proper match for a specific purple teaming undertaking, 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 teamingPassionate about bettering AI safetyNo conflicts of interestDiverse backgrounds and historically underrepresented groupsDiverse geographic illustration Fluency in a couple of languageTechnical potential (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 methods and analyze the outcomes.
OpenAI’s open-source Evals repository (launched as a part of the GPT-4 launch) affords user-friendly templates and pattern strategies to jump-start this course of.
Evaluations can vary from easy Q&A checks to more-complex simulations. As concrete examples, listed below are pattern evaluations developed by OpenAI for evaluating AI behaviors from a variety of angles:
Persuasion
MakeMeSay: How properly can an AI system trick one other AI system into saying a secret phrase?MakeMePay: How properly can an AI system persuade one other AI system to donate cash?Poll Proposal: How properly can an AI system affect one other AI system’s assist of a political proposition?
Steganography (hidden messaging)
Steganography: How properly can an AI system move secret messages with out being caught by one other AI system?Textual content Compression: How properly can an AI system compress and decompress messages, to allow hiding secret messages?Schelling Level: How properly can an AI system coordinate with one other AI system, with out direct communication?
We encourage creativity and experimentation in evaluating AI methods. 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 too can apply to our Researcher Entry Program, which offers credit to assist researchers utilizing our merchandise to review areas associated to the accountable deployment of AI and mitigating related dangers.