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

Zhewei Zhang; Joe Nandhakumar; Jochem Hummel; Lauren Waardenburg

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 Journal › Article › Academic › peer-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 language	English
Article number	5
Pages (from-to)	221-238
Number of pages	18
Journal	MIS Quarterly Executive
Volume	19
Issue number	4
Publication status	Published - 2 Dec 2020

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title = "Addressing the key challenges of developing machine learning AI systems for knowledge-intensive work",

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.",

author = "Zhewei Zhang and Joe Nandhakumar and Jochem Hummel and Lauren Waardenburg",

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AB - 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.

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

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