Department of Health and Aged Care - Governance for Machine Learning and Artificial Intelligence in Fraud Detection
Review the literature on governance frameworks for machine learning (ML) and artificial intelligence (AI) for the responsible and ethical use of these technologies in fraud detection.
Student opportunity type
Degree level
About
At the Department of Health and Aged Care, the work we do shapes health, aged care and sport policy, programs and research in Australia. Our work involves:
- awareness and education
- consultation and engagement
- grants and tenders
- initiatives and programs
- administration of legislation
- policy
- regulation and compliance
- research
Our department is led by 7 groups:
- Ageing and Aged Care Group
- The Ageing and Aged Care Group guides and influences the direction of ageing and aged care, developing policy and implementing programs in collaboration with the sector through co-design.
- Chief Medical Officer Group
- The Chief Medical Officer Group is made up of the principal medical advisers to the Minister for Health and the department.
- Corporate Operations Group
- The Corporate Operations Group delivers a broad range of end-to-end ministerial support services, HR, Communication, ICT, Finance, our state network, law, assurance and managing the Budget process for the department.
- Health Products Regulation Group
- The Health Products Regulation Group (HPRG/TGA) looks after the regulation of therapeutic goods and certain controlled drugs and drug substances to ensure these products do not put Australians' health and safety at risk.
- Health Resourcing Group
- The Health Resourcing Group oversees medical benefits, technology assessment and access, the health workforce, benefits integrity, digital health and the national COVID-19 vaccine program.
- Health Strategy, First Nations and Sport
- The Health Strategy, First Nations and Sport Group oversees strategic policy and relations, health economics and research, sport and First Nations health.
- Primary and Community Care Group
- The Primary and Community Care Group is responsible for leading the department’s work on policies and programs relating to mental health, primary care, population health, prevention and cancer, hearing and chronic conditions.
Project: Governance for Machine Learning and Artificial Intelligence in Fraud Detection
Internship details |
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Internship Availability |
Semester 2, 2024 |
Internship Discipline/s |
|
Internship Level |
2nd or 3rd yr undergraduate; or postgraduate coursework |
Available to International Students |
Yes |
Preferred Project Skills: |
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Clearances Required |
No |
Host Supervisor |
Josh Myers Team Lead Advanced Analytics T: 0423 414 960 |
Location |
Sirius Building Furzer St Woden, ACT |
Project Opportunities/Benefits for the Intern |
The project will provide the opportunity to obtain a deeper understanding of machine learning/AI governance, enhanced research and communication skills, and skills in information literacy, critical thinking, writing, time management and exposure to the research process. |
Summary
This project will review the literature on governance frameworks for machine learning (ML) and artificial intelligence (AI) for the responsible and ethical use of these technologies in fraud detection. The review will compare frameworks, identify best practices, and contribute to the development of robust and effective governance models for ML/AI in government health service compliance settings.