When artificial intelligence is used to support or make important decisions in areas such as health care and public administration, it becomes crucial to understand how these systems arrive at their conclusions. A new doctoral thesis from the University of Gothenburg presents a method for designing AI systems that can explain the evidence underlying their conclusions.
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How AI can become more transparent and reliable
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