Addressing the key challenges of developing machine learning AI systems for knowledge-intensive work

Zhewei Zhang, Joe Nandhakumar, Jochem Hummel, Lauren Waardenburg

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

AI has great potential to change the way businesses operate. However, developers of AI systems face many challenges because of the significant differences compared to traditional systems. We describe how a machine learning AI system for legal practice was developed to help legal professionals make faster and better-informed decisions. We identified three key challenges encountered by developers and users and, based on their experience, provide actions and recommendations for addressing the challenges of developing machine learning AI systems for knowledge-intensive work.
Original languageEnglish
Article number5
Pages (from-to)221-238
Number of pages18
JournalMIS Quarterly Executive
Volume19
Issue number4
Publication statusPublished - 2 Dec 2020

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