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

Schemmer, Max 1; Hemmer, Patrick 1; Nitsche, Maximilian 1; Kühl, Niklas ORCID iD icon; Vössing, Michael ORCID iD icon 1
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)


Research in artificial intelligence (AI)-assisted decision-making is experiencing tremendous growth with a constantly rising number of studies evaluating the effect of AI with and without techniques from the field of explainable AI (XAI) on human decision-making performance. However, as tasks and experimental setups vary due to different objectives, some studies report improved user decision-making 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. However, we find no effect of explanations on users' performance compared to sole AI predictions. Our initial synthesis gives rise to future research investigating the underlying causes and contributes to further developing algorithms that effectively benefit human decision-makers by providing meaningful explanations.

Volltext §
DOI: 10.5445/IR/1000147671
Veröffentlicht am 26.08.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000147671
Nachgewiesen in arXiv
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