The phenomenon whereby the phrasing, structure, and implicit assumptions embedded in a question systematically bias the responses generated by large language models. Just as framing effects in behavioral economics cause humans to make different choices depending on how options are presented, AI models are highly sensitive to prompt framing — a question framed as "what are the risks?" will produce a fundamentally different analysis than "what are the opportunities?" even when the underlying situation is identical.
Decision intelligence platforms mitigate this by assembling experts with different cognitive frames to analyze the same core question.