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.

PDF WRAP-addressing-key-challenges-developing-machine-learning-AI-systems-knowledge-intensive-work-Zhang-2020.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1437Kb)

Request Changes to record.

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
Divisions:	Faculty of Social Sciences > Warwick Business School > Information Systems & Management Faculty of Social Sciences > Warwick Business School
Journal or Publication Title:	MIS Quarterly Executive
ISSN:	1540-1960
Official Date:	December 2020
Dates:	Date Event December 2020 Available 16 September 2020 Accepted
Date of first compliant deposit:	9 October 2020
Volume:	19
Number:	4
Article Number:	5
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Related URLs:	Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item