Artificial Intelligence (AI) technologies are being increasingly deployed across a range of services. However, embedding public values (e.g. effectiveness, efficiency, fairness, and privacy) in the
Design of these technologies is often complex. Not sufficiently supporting these values leads to service delivery failure and ethical and societal issues affecting service applicants. Tapproach.
The student will be collecting data through methods such as interviews, focus groups and/or design workshops from a range of stakeholders such as designers, service applicants and service managers. The student will be analysing data, will write a thesis/research report and will need to publish high quality journal and conference papers. The expectations will vary dependent on the level of study (e.g. PhD, Masters, honours, VRES).
- Guiding principles
- High quality journal and conference papers from the research findings
Skills and experience
The student needs to have excellent communications skill and should have evidence of prior publications (e.g. good conference papers). Relevant work experience also helps.
You may be eligible to apply for a research scholarship.
Contact the supervisor for more information.