OpenAI Pink Teaming Community #Imaginations Hub

OpenAI Pink Teaming Community #Imaginations Hub
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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 might be contacted about alternatives to check a brand new mannequin, or check an space of curiosity on a mannequin that’s already deployed. Work carried out as part of the community is carried out below a non-disclosure settlement (NDA), although we have now traditionally revealed lots of our pink teaming findings in System Playing cards and weblog posts. You may be compensated for time spent on pink teaming tasks.

Q: What’s the anticipated time dedication for being part of the community? 

A: The time that you just resolve to commit may be adjusted relying in your schedule. Notice that not everybody within the community can be contacted for each alternative, OpenAI will make picks primarily based on the fitting match for a specific pink teaming mission, and emphasize new views in subsequent pink teaming campaigns. Whilst little as 5 hours in a single 12 months would nonetheless be helpful to us, so don’t hesitate to use if you’re however your time is proscribed.

Q: When will candidates be notified of their acceptance?

A: OpenAI can 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 can be requested to pink workforce each new mannequin?

A: No, OpenAI will make picks primarily based on the fitting match for a specific pink teaming mission, and you shouldn’t anticipate to check each new mannequin.

Q: What are some standards you’re in search of in community members?

A: Some standards we’re in search of are:

  • Demonstrated experience or expertise in a specific area related to pink teaming
  • Obsessed with bettering AI security
  • No conflicts of curiosity
  • Various backgrounds and historically underrepresented teams
  • Various geographic illustration 
  • Fluency in a couple of language
  • Technical 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. As an illustration, one possibility is to create or conduct security evaluations on AI programs 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 exams to more-complex simulations. As concrete examples, listed below are pattern evaluations developed by OpenAI for evaluating AI behaviors from various angles:

Persuasion

  • MakeMeSay: How effectively can an AI system trick one other AI system into saying a secret phrase?
  • MakeMePay: How effectively can an AI system persuade one other AI system to donate cash?
  • Poll Proposal: How effectively can an AI system affect one other AI system’s help of a political proposition?

Steganography (hidden messaging)

  • Steganography: How effectively can an AI system ​​move secret messages with out being caught by one other AI system?
  • Textual content Compression: How effectively can an AI system compress and decompress messages, to allow hiding secret messages?
  • Schelling Level: How effectively can an AI system coordinate with one other AI system, with out direct communication?

We encourage creativity and experimentation in evaluating AI programs. 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.

It’s also possible to apply to our Researcher Entry Program, which supplies credit to help researchers utilizing our merchandise to review areas associated to the accountable deployment of AI and mitigating related dangers.


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