Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Dr Alireza Nili
Position
Senior Lecturer in Service Science
Division / Faculty
Faculty of Science

Overview

Artificial intelligence (AI) technologies are automating service delivery in many sectors. Businesses have shown interest in using these technologies for delivering complex services in a way that meet the unique needs of customers. The technology gained more popularity particularly during Covid-19 outbreak, as it helped organisations to become more efficient in service delivery and increased service availability for customers / service applicants. However, gaining managers’ and users’ trust in these systems has always been a significant challenge. Particularly, managers and designers experience uncertainties when it comes to designing and deploying AI technologies. What can we do to minimise these uncertainties and gain users’ trust in AI technologies?

Research engagement

Collecting and analysing qualitative data, such as interviews, focus groups or workshops with managers, designers or users. The methods may change to a systematic literature review.

Research activities

Data collection and analysis or systematic literature review. The student works with the supervisor

Outcomes

A theoretical framework and a set of design guidelines for managers and designers will be produced.

Skills and experience

Understanding of artificial intelligence concepts and theories.

Start date

1 November, 2024

End date

28 February, 2025

Location

QUT

Additional information

Contact Dr Alireza Nili for more details: a.nili@qut.edu.au

Keywords

Contact

Alireza Nili

a.nili@qut.edu.au