Artificial Intelligence System Development in terms of People-Process-Data-Technology (2PDT): Results from Government Case Studies

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

Abstract

Artificial Intelligence (AI) System Development (SD) is an organisational activity characterised by diverse opinion and an industry approach with limited research reporting the outcome of proposed frameworks. This paper aims to analyse the outcome of a previously proposed framework in terms of People-Process-Data-Technology (2PDT). We argue that organisations can improve their effectiveness by promoting an agile organisational culture, and better data management. The findings suggests that people and culture are critical in taking timely actions, and that use of quality data and development of ethical and explainable AI systems are required.
In this paper, we evaluate the use of 2PDT by investigating nine case-studies and demonstrate its effectiveness in the formulation of research design, data collection and analysis. The findings highlight that the 2PDT offers a useful conceptual framework examining this phenomenon due to its characteristics of agility, rigour, dynamicity, and completeness.
Original languageEnglish
Title of host publicationAustralasian Conference on Information Systems
EditorsShahper Richter, Michael Winikoff, Alexander Richter, Mary Tate, Wasana Bandara, Farhaan Mirza
PublisherAIS Electronic Library (AISeL)
Pages1-14
Number of pages14
Publication statusPublished - Dec 2023
Event
Australasian Conference on Information Systems (ACIS) 2023
- Wellington, Wellington, New Zealand
Duration: 5 Dec 20238 Dec 2023

Conference

Conference
Australasian Conference on Information Systems (ACIS) 2023
Country/TerritoryNew Zealand
CityWellington
Period5/12/238/12/23

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