Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation
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DOI: 10.1287/isre.2021.1079
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Cited by:
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- Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
- Binh Nguyen Thanh & Ha Xuan Son & Diem Thi Hong Vo, 2024. "Blockchain: The Economic and Financial Institution for Autonomous AI?," JRFM, MDPI, vol. 17(2), pages 1-20, January.
- Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
- Martin Adam & Konstantin Roethke & Alexander Benlian, 2023. "Human vs. Automated Sales Agents: How and Why Customer Responses Shift Across Sales Stages," Information Systems Research, INFORMS, vol. 34(3), pages 1148-1168, September.
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Keywords
future of work; artificial intelligence; machine learning; delegation; metaknowledge; human–AI collaboration;All these keywords.
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