AI Bibliography
AI Bibliography |
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Meske, C., Bunde, E., Schneider, J., & Gersch, M. (2022). Explainable artificial intelligence: Objectives, stakeholders, and future research opportunities. Information Systems Management, 39(1), 53–63. |
| Resource type: Journal Article BibTeX citation key: Meske2022 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, Engineering, General, Mathematics Subcategories: Analytics, Big data, Decision making, Human factors engineering, Informatics, Machine learning Creators: Bunde, Gersch, Meske, Schneider Publisher: Collection: Information Systems Management |
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| Abstract |
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Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In this research note, we describe exemplary risks of black-box AI, the consequent need for explainability, and previous research on Explainable AI (XAI) in information systems research. Moreover, we discuss the origin of the term XAI, generalized XAI objectives, and stakeholder groups, as well as quality criteria of personalized explanations. We conclude with an outlook to future research on XAI.
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