The Framing Effect

The framing effect is the systematic tendency for the presentation of a decision — the language used, the outcomes emphasized, the reference point assumed — to determine the choice made, independently of the underlying facts. Tversky and Kahneman's classic demonstration involved the Asian disease problem, in which identical mathematical options produced opposite majority preferences depending on whether outcomes were described as lives saved or lives lost. In the AI discourse, the phenomenon is ubiquitous: the same evidence, framed as "AI enables non-experts to produce creative work" versus "AI eliminates the value of years of expert training," produces opposite evaluations. The debate about AI is not fundamentally a debate about evidence. It is a debate about framing, and the frames are usually chosen before the evidence is examined.