Yipu Dou, Wang Yang
AJAR is a new framework for testing AI safety by simulating complex attacks on autonomous language models, bridging gaps in current red-teaming approaches.
As AI models become more advanced, they are not just chatbots but can also perform actions like executing code. This shift changes the focus of AI safety from just monitoring content to ensuring the security of these actions. The AJAR framework is designed to test these new safety challenges by simulating sophisticated attacks on AI systems. It allows researchers to better understand and protect against potential vulnerabilities in AI models that can act autonomously.
