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Value-based design of artificial intelligence technologies (AI) for service delivery

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 theDesign of these technologies is often complex. Not sufficiently supporting these values leads to service delivery failure and ethical and societal issues affecting service applicants. The project will outline and validate guiding principles for the design of major types of AI technologies to support generating public value through these technologies. The project will need to use …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Information Systems

Contributions and risks of smart urban technology-driven approaches to sustainable development

The prospects of smart urban technologies range from expanding infrastructure capacity to generating new services, from reducing emissions to engaging the public, from minimising human errors to improved decision-making, and from supporting sustainable development to improving performances of commercial enterprises and cities. The most popular technologies in the context of cities include, but are not limited to, internet-of-things (IoT), autonomous vehicles (AV), Mobility-as-a-Service (MaaS), bigdata, 5G/6G, robotics, blockchain, cloud computing, 3D printing, augmented and virtual reality (AR/VR), digital twins and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

AI for wildlife conservation

Automated detection of animals using machine learning (AI) from drones and camera traps is creating powerful new opportunities for ecological research. Working as part of a team you will learn how to enable and use automated ID in imagery, use these tools to answer questions around wildlife abundance and interactions and help to shape new research directions. We work with a diverse range of species and you may have the opportunity to work on koalas, kangaroos and other macropods, lions, …

Study level
Master of Philosophy, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

Technology, Innovation and Health

Professor Belinda Bennett is interested in talking to students who wish to undertake research on legal issues related to technology, innovation and health, regulation of innovative health technologies, legal issues related to genomics, the use of artificial intelligence in health care, and the use of robotics in health care.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)

Australian Centre for Health Law Research

Advanced artificial intelligence based ultrasound imaging applications

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

Advanced quantitative ultrasound imaging using capacitive micromachined ultrasound transducers

Ultrasound imaging has revolutionised healthcare, as one of the most valuable and cost-effective diagnostic tools in comparison with other diagnostic imaging devices. It is used extensively to examine the unborn baby, heart, breast, neck, musculoskeletal tissues, peripheral vasculature, liver, kidneys and other organs. Major advantages include portability, cost-effectiveness, volumetric real-time capabilities, virtually unlimited resolution, and no reported cases of harm to patients in literature.One of the most promising technologies to replace the traditional piezoelectric crystals used as transducers in ultrasound …

Study level
Vacation research experience scheme
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

New technology and the law

Computer vision has developed to a point where machines using artificial intelligence are better and faster than humans at performing many vision-related tasks. For example, we are now often processed through customs based solely on face recognition software. Add to this the fact that the average Australian is photographed on CCTV cameras around 75 times per day. Commercial applications of face recognition technology include Microsoft's Face Application Programming Interface that can be used to classify face images based on gender, …

Study level
PhD, Master of Philosophy
Faculty
null
School
null
Research centre(s)
null
null

Light, circadian rhythms and Parkinson’s disease

Up to 98% of patients with Parkinson’s Disease (PD) have non-motor symptoms (Poewe et al. Nature Rev Dis 2017, 3: 17013) and of those, circadian and sleep disorders are the most common (for review, Gros & Videnovic. 2020, Clin Geriatr Med 36: 119). These symptoms become increasingly prevalent during the course of PD and are key determinants affecting quality of life, advancement of overall disability and placement in nursing homes (Shapira et al. Nat Rev Neurosci 2017,18:435). Circadian and sleep …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences

Analysing regulatory frameworks and ethical guidelines for artificial intelligence

The project consists of a literature review on AI ‘regulations’ (i.e. any initiative from ethical guideline/framework to regulation), of which many instances have evolved in recent years. IEEE, EU, OECD, OpenAI, IBM and many others have published ethical and regulatory frameworks on AI. The goal of the project is to systematically analyse these initiatives in terms of what they try to control, protect, suppress or support (e.g. the humans that develop them, technology itself, users, financial/political institution’s power over it, …

Study level
Vacation research experience scheme
Faculty
Faculty of Business and Law
School
School of Law

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