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Addressing key challenges of developing machine learning AI systems for knowledge intensive work
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Zhang, Zhewei, Nandhakumar, Joe, Hummel, Jochem T. and Waardenburg, Laura (2020) Addressing key challenges of developing machine learning AI systems for knowledge intensive work. MIS Quarterly Executive, 19 (4). 5. ISSN 1540-1960.
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Official URL: https://aisel.aisnet.org/misqe/vol19/iss4/5
Abstract
It is widely known that the use of artificial intelligence (AI) holds great opportunities for today’s organizations. However, developing an AI system is fraught with many challenges due to the differences between AI and traditional systems. This article describes how a machine learning AI for legal practice was developed to help legal professionals make faster and better informed decisions. Our research identifies three key challenges of developing machine learning AI, and proposes guidelines for effective AI system development for knowledge intensive work in organizations.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Social Sciences > Warwick Business School > Information Systems & Management Faculty of Social Sciences > Warwick Business School |
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Journal or Publication Title: | MIS Quarterly Executive | ||||||
ISSN: | 1540-1960 | ||||||
Official Date: | December 2020 | ||||||
Dates: |
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Volume: | 19 | ||||||
Number: | 4 | ||||||
Article Number: | 5 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 9 October 2020 | ||||||
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