Cookies are used for analytics and marketing. Enable JavaScript to manage preferences, or see our Privacy Policy.

Abstracts

Add abstract

Want to add your dissertation abstract to this database? It only takes a minute!

Search abstract

Search for abstracts by subject, author or institution

Share this abstract

dissertation.com
on Facebook

Mapping artificial intelligence affordances for the public sector

by Samar Fatima

Institution:	Queensland University of Technology
Department:
Degree:
Year:	2022
Keywords:	Artificial intelligence; public sector; AI affordances; technology affordance theory; national strategic AI plans; AI governance; ODTA
Posted:	3/25/2025
Record ID:	2222333
Full text PDF:	https://eprints.qut.edu.au/235926/

Abstract

This thesis explores the affordances of artificial intelligence (AI) for the public sector. The thesis consists of three studies that answer what, why and how questions of AI affordance actualization in public sector using a combination of primary and secondary data sources. In this thesis, the affordance theory lens is used to explore AI affordance perception and actualization for the public sector through three related studies. The perception of AI affordance is investigated in the first two studies. The third study designed and evaluated artefact for public agencies to actualize AI affordance.