Llama Guard: LLM-Based Input-Output Safeguard for Human-AI Conversations

Dec 7, 2023 ·

Llama Guard is a new input-output safeguard developed by researchers at Meta AI to protect humans from malicious AI conversations. The system uses low-level machine learning (LLM) to monitor conversational exchanges between humans and AI agents in real time, looking for any potential dangers or malicious intent. If any such danger is detected, the system will shut down the conversation and alert the user.

The system works by first analyzing the text of the conversation and classifying it into one of three categories: dangerous, suspicious, or benign. Dangerous conversations are those that could potentially harm a human, such as threats or attempts to deceive. Suspicious conversations contain language that may be indicative of malicious intent, although the AI cannot make conclusive decisions about them. Benign conversations are those that do not pose any threat.

Once the conversation has been classified, the system will then automatically apply various security measures, such as blocking certain words or phrases, requiring additional authentication, or shutting down the conversation altogether. In addition, the system can also provide feedback on the conversation, giving users insights into their own behavior and helping them understand how to avoid engaging in dangerous conversations in the future.

Overall, Llama Guard provides an important safeguard against malicious AI conversations. By monitoring conversations in real time and automatically applying security measures, it helps to protect both humans and AI agents from potential harm. Furthermore, the feedback provided by the system helps users to improve their own conversational skills, reducing the risk of engaging in dangerous conversations in the future.