?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.235926&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Mapping+artificial+intelligence+affordances+for+the+public+sector&rft.creator=Fatima%2C+Samar&rft.subject=Artificial+intelligence&rft.subject=public+sector&rft.subject=AI+affordances&rft.subject=technology+affordance+theory&rft.subject=national+strategic+AI+plans&rft.subject=AI+governance&rft.subject=ODTA&rft.description=This+thesis+explores+the+affordances+of+artificial+intelligence+(AI)+for+the+public+sector.+The+thesis+consists+of+three+studies+that+answer+what%2C+why+and+how+questions+of+AI+affordance+actualization+in+public+sector+using+a+combination+of+primary+and+secondary+data+sources.+In+this+thesis%2C+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.&rft.publisher=Queensland+University+of+Technology&rft.date=2022-10-26&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F235926%2F1%2FSamar%252BFatime%252BThesis.pdf&rft.rights=free_to_read&rft.rights=http%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-nc-nd%2F4.0%2F&rft.relation=doi%3A10.5204%2Fthesis.eprints.235926&rft.relation=Fatima%2C+Samar+(2022)+Mapping+artificial+intelligence+affordances+for+the+public+sector.+PhD+by+Publication%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F235926%2F&rft.identifier=Faculty+of+Business+%26+Law%3B+School+of+Management