PhD scholarship on AI in Government Social Services

PH
Paul Henman
Tue, Mar 22, 2022 10:41 PM

Dear CITAMS

Can you please post the following in the next newsletter?

Based at the University of Queensland (a global to 50 university), one scholarship is available for a high calibre student to undertake research on a wide range of PhD projects from diverse academic disciplines examining responsible Artificial Intelligence (AI) or Automated Decision Making (ADM) in Government funded Social Services. Projects may include questions such as:

In what ways does AI/ADM in social services impact on diverse populations?
How can we build AI/ADM that does not reproduce bias and disadvantage?
How might we co-design inclusive AI/ADM for disadvantaged social service users?
What might be the policy, legal and governance reforms required to ensure responsible AI/ADM in social services?
How can we develop explainable AI/ADM in social services?
What might be an Indigenous approach to AI/ADM in social services? (For Indigenous students)
More details at: https://scholarships.uq.edu.au/scholarship/building-artificial-intelligence-ai-government-services

Paul

Professor Paul Henman
Professor for Digital Sociology & Social Policy
UQ Node Leader, ARC CoE for Automated Decision-Making & Society
Digital Societies, Research Cluster Leader
School of Social Science
The University of Queensland
Brisbane Qld 4072 Australia
 
T +61 7 3365 2383   E p.henman@uq.edu.au   W https://policy-futures.centre.uq.edu.au/profile/577/paul-henman
 

Dear CITAMS Can you please post the following in the next newsletter? Based at the University of Queensland (a global to 50 university), one scholarship is available for a high calibre student to undertake research on a wide range of PhD projects from diverse academic disciplines examining responsible Artificial Intelligence (AI) or Automated Decision Making (ADM) in Government funded Social Services. Projects may include questions such as: In what ways does AI/ADM in social services impact on diverse populations? How can we build AI/ADM that does not reproduce bias and disadvantage? How might we co-design inclusive AI/ADM for disadvantaged social service users? What might be the policy, legal and governance reforms required to ensure responsible AI/ADM in social services? How can we develop explainable AI/ADM in social services? What might be an Indigenous approach to AI/ADM in social services? (For Indigenous students) More details at: https://scholarships.uq.edu.au/scholarship/building-artificial-intelligence-ai-government-services Paul Professor Paul Henman Professor for Digital Sociology & Social Policy UQ Node Leader, ARC CoE for Automated Decision-Making & Society Digital Societies, Research Cluster Leader School of Social Science The University of Queensland Brisbane Qld 4072 Australia   T +61 7 3365 2383   E p.henman@uq.edu.au   W https://policy-futures.centre.uq.edu.au/profile/577/paul-henman