Originally used in Cold War simulations, the term "red teaming" has evolved into a critical stress testing process for artificial intelligence (AI) systems, large language models (LLMs) and generative artificial intelligence (Gen AI) to identify vulnerabilities such as problematic outputs and performance issues. However, safeguarding the results and communications of red-team testing is a serious concern for companies involved in developing or using these models to prevent exposure of their testing methods and any vulnerabilities uncovered. Where lawyers are involved, one way to protect this information is through legal professional privilege (LPP). In an article for the IAPP, Luminos.Law's Andrew Eichen, Ekene Chuks-Okeke and Brenda Leong examine how organisations are using red teaming to navigate risks associated with AI.
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