A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making.

However, as tasks and experimental setups vary due to different objectives, some studies report improved user decisionmaking performance through XAI, while others report only negligible effects.

Therefore, in this article, we present an initial synthesis of existing research on XAI studies using a statistical meta-analysis to derive implications across existing research. We observe a statistically positive impact of XAI on users' performance. Additionally, the first results indicate that human-AI decision-making tends to yield better task performance on text data.