Mapping artificial intelligence affordances for the public sector
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Samar Fatime Thesis.pdf. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
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.
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| ID Code: | 235926 |
|---|---|
| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | Desouza, Kevin C. & Barrett, Rowena |
| Keywords: | Artificial intelligence, public sector, AI affordances, technology affordance theory, national strategic AI plans, AI governance, ODTA |
| DOI: | 10.5204/thesis.eprints.235926 |
| Pure ID: | 116765291 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Business & Law Current > Schools > School of Management |
| Institution: | Queensland University of Technology |
| Deposited On: | 01 Nov 2022 07:08 |
| Last Modified: | 19 Jan 2024 00:23 |
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