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We present a framework for the automated measurement of responsible AI (RAI)metrics for large language models (LLMs) and associated products and services.Our framework for automatically measuring harms from LLMs builds on existingtechnical and sociotechnical expertise and leverages the capabilities ofstate-of-the-art LLMs, such as GPT-4. We use this framework to run throughseveral case studies investigating how different LLMs may violate a range ofRAI-related principles. The framework may be employed alongside domain-specificsociotechnical expertise to create measurements for new harm areas in thefuture. By implementing this framework, we aim to enable more advanced harmmeasurement efforts and further the responsible use of LLMs.

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications