Confirming Our Biases? Evaluating the Capabilities, Risks, and Societal Impact of Large Language Models

Mudar Adas, Polina Tsvilodub, Michael Franke +1

It is well established that large language models (LLMs) are sensitive to prompt framing, reflecting patterns in their training data or prior prompts. In this study, we investigate…