An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles
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DOI: 10.1016/j.techsoc.2021.101647
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- Sulin Ba & Jan Stallaert & Andrew B. Whinston, 2001. "Research Commentary: Introducing a Third Dimension in Information Systems Design—The Case for Incentive Alignment," Information Systems Research, INFORMS, vol. 12(3), pages 225-239, September.
- Coccia, Mario, 2020. "Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence," Technology in Society, Elsevier, vol. 60(C).
- David Silver & Julian Schrittwieser & Karen Simonyan & Ioannis Antonoglou & Aja Huang & Arthur Guez & Thomas Hubert & Lucas Baker & Matthew Lai & Adrian Bolton & Yutian Chen & Timothy Lillicrap & Fan , 2017. "Mastering the game of Go without human knowledge," Nature, Nature, vol. 550(7676), pages 354-359, October.
- Naveed, Kashif & Watanabe, Chihiro & Neittaanmäki, Pekka, 2017. "Co-evolution between streaming and live music leads a way to the sustainable growth of music industry – Lessons from the US experiences," Technology in Society, Elsevier, vol. 50(C), pages 1-19.
- Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2018.
"Human Decisions and Machine Predictions,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 237-293.
- Jon Kleinberg & Himabindu Lakkaraju & Jure Leskovec & Jens Ludwig & Sendhil Mullainathan, 2017. "Human Decisions and Machine Predictions," NBER Working Papers 23180, National Bureau of Economic Research, Inc.
- Al-Emran, Mostafa & Mezhuyev, Vitaliy & Kamaludin, Adzhar, 2020. "Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance," Technology in Society, Elsevier, vol. 61(C).
- Siyam, Nur & Alqaryouti, Omar & Abdallah, Sherief, 2020. "Mining government tweets to identify and predict citizens engagement," Technology in Society, Elsevier, vol. 60(C).
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- Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
- Chris Turner & John Oyekan & Wolfgang Garn & Cian Duggan & Khaled Abdou, 2022. "Industry 5.0 and the Circular Economy: Utilizing LCA with Intelligent Products," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
- Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
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Keywords
Hybrid intelligence; Human-in-the-loop (HITL) computing; Design principles; Design science research; Machine learning; Artificial intelligence;All these keywords.
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