Large language models are transforming how humans acquire and interpret information, raising pressing ethical concerns. To mitigate the related risks, policymakers should promote digital AI literacy and develop tools to understand the inherent biases of generative AI tools, Sinan Ülgen suggests in this article for Carnegie Europe. Large language models (LLMs) are changing how humans access information and understand the world. As interactions with LLMs increasingly shape people’s perceptions of the global order and international relations, it is critical to recognize the biases embedded in these models. To do so, policymakers must invest in AI literacy programs and advocate transparency in LLM training. https://carnegie-production-assets.s3.amazonaws.com

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