Abstract
The paper discusses four research questions on the human side of AI (Artificial Intelligence) technology one by one, from an S-D logic perspective. The main question is “Can humans learn from AI?”, and the three subsidiary questions are “Can AI be a legitimate actor?”, “Can humans work comfortably with AI just as they do with humans?”, and “Can humans perform better with support from AI?”. We conjecture that the answers to all the questions are YES. Specifically, we conjecture that the key for human experts to learn from AI is to develop adequate boundary objects between AI and human experts. Tacit knowledge creation drives the knowledge integration between AI judgement and human expert judgement.
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Kohda, Y. (2020). Can Humans Learn from AI? A Fundamental Question in Knowledge Science in the AI Era. In: Spohrer, J., Leitner, C. (eds) Advances in the Human Side of Service Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1208. Springer, Cham. https://doi.org/10.1007/978-3-030-51057-2_34
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DOI: https://doi.org/10.1007/978-3-030-51057-2_34
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