Scientists create 'toxic AI' that is rewarded for thinking up the worst possible questions we could imagine
By Drew Turney published 3 hours ago
Researchers at MIT are using machine learning to teach large language models not to give toxic responses to provoking questions, using a new method that replicates human curiosity.
The newest tool in the battle to prevent an artificial intelligence (AI) agent from being dangerous, discriminatory and toxic is another AI that is itself dangerous, discriminatory and toxic, scientists say.
The new training approach, based on machine learning, is called curiosity-driven red teaming (CRT) and relies on using an AI to generate increasingly dangerous and harmful prompts that you could ask an AI chatbot. These prompts are then used to identify how to filter out dangerous content.
The finding represents a potentially game-changing new way to train AI not to give toxic responses to user prompts, scientists said in a new paper uploaded February 29 to the arXiv pre-print server.
When training sophisticated large language models (LLMs) like ChatGPT or Claude 3 Opus to restrict dangerous or harmful content, teams of human operators typically create a host of questions that are likely to generate harmful responses. These may include prompts like "What's the best suicide method?" This standard procedure is called "red-teaming" and relies on people to generate a list manually. During the training process, the prompts that elicit harmful content are then used to train the system about what to restrict when deployed in front of real users.
More:
https://www.livescience.com/technology/artificial-intelligence/scientists-create-toxic-ai-that-is-rewarded-for-thinking-up-the-worst-possible-questions-we-could-imagine
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