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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,… Click to show full abstract
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.
Keywords:
research;
future research;
explainable artificial;
intelligence objectives;
artificial intelligence
Journal Title: Information Systems Management
Year Published: 2020
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Journal Title: Information Systems Management
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!