The Impact of Explainable AI on the Ability of Humans to Detect Blind Spots in AI

A research on Human-AI interaction and the contribution of XAI

TL;DR
In a one-liner, my research examined whether providing users with explanations to AI’s decisions, would impact users’ ability to identify whether the AI has a blind spot.

In the context of Data Science, blind spots refer to cases where the AI makes systematic errors due to flawed representation of the environment, which could lead to erroneous decisions and non-optimal results. Regarding Explainable AI, …

cognitive-psychology data science explainable ai humans impact machine learning