The authors, who study AI ethics and policy, recently asked nine popular generative Large Language Models (LLMs) to rank their own values using a questionnaire typically used to ascertain human values. They did so as part of their work on the alignment problem—the challenge of ensuring that LLMs act in alignment with human values and intentions. In this article, they discuss their methodology and results, which suggest that although all of the LLMs in their study share some overarching values, they differ in meaningful ways. The authors provide a brief values profile for each LLM, the goal being to help leaders can make more informed strategic decisions about which one best aligns with their organization’s mission, specific task requirements, and overall brand identity.
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