Artificial Intelligence System Development: Common Enabling Themes from Case Studies

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

Artificial Intelligence (AI) System Development (SD) is an important area of focus for organisations. It offers opportunity for improved product and service delivery including reducing delivery times and improvement in quality. AI SD also presents organisations with uncertainty, and key challenges which must be effectively managed.
In this paper, we present the commonly discussed themes enabling effective AI SD using data collected from 12 case studies. The findings provide useful information which organisations can use to improve their AI SD processes by identifying the changes that would enable them to develop more effective AI systems. The common themes highlight challenges such as cultural issues, inadequate processes, and poor-quality data. We argue that organisations can improve the effectiveness of their AI systems, meaning develop AI systems that improve their products and services, by reflecting on and applying these themes.
Original languageEnglish
Title of host publicationACIS 2024 Proceedings
EditorsShirley Gregor, Craig McDonald, Blooma John, Ahmed Imran, Israr Qureshi, Ghassan Beydoun, Juliana Sutanto, Nilmini Wickramasinghe, Micheal Axelsen, Hamed Sarbazhosseini
PublisherAIS Electronic Library (AISeL)
Pages1-13
Number of pages13
Publication statusPublished - 10 Dec 2024
EventAustralasian Conference on Information Systems 2024: Digital Futures for a Sustainable Society - Canberra, Canberra, Australia
Duration: 4 Dec 20246 Dec 2024
Conference number: 34
https://acis.aaisnet.org/acis2024/

Conference

ConferenceAustralasian Conference on Information Systems 2024
Abbreviated titleACIS 2024
Country/TerritoryAustralia
CityCanberra
Period4/12/246/12/24
Internet address

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