BrianneLee011

It started with a simple question, and I thought it was done. But now I think it is not that easy.

What made the model change its answer???

Yes, I can easily answer: AI is affected by biased cues.

The more I look at this experiment, the less interested I am in the necklace itself.

The part I can't explain is this:

AI overpriced itself even for Stimuli #4 (necklace itself without Human, testing default setting)

Back to my simple answer: Yes, I can answer easily AI is affected by biased cues.

--> why did AI use Information You Never Intended It to use?

That is where I think the interesting research question starts.

There is already a fairly large literature on LLMs showing context-sensitive judgment: anchoring, framing effects, user-belief influence/sycophancy, etc.

But most anchoring experiments give the model an explicit anchor—usually a number, prior answer, or “expert” opinion.

In my experiment, there was no explicit price anchor.

Instead, the context was something like:

same necklace + formal setting same necklace + casual/recycling-yard setting

The model was free to decide what information mattered.

So I'm curious about the technical interpretation:

What representation is changing when the object stays constant but the model's valuation changes?

How does AI decide which information to use or not?