HREC Review of AI-Related Health Research

For HREC members, chairs, and research offices reviewing applications involving AI.

AI-related research projects exacerbate existing ethical concerns and introduce new risks. Reviewing them means knowing what to look for, how to weigh what you find, and how to respond.

Participation in the History and Shape of Artificial Intelligence seminar is a pre-requisite.

The seminar covers

• a survey of different types of AI used in health research

• a review of current standards and guidelines for the ethical review of AI-related research projects

• an examination of AI ethics principles alongside the principles of research ethics, and the ways in which AI-related research projects exacerbate existing ethical concerns and introduce new risks

• practice reviews of AI-related health research projects

You leave with

A written summary of the topics covered in the seminar, a checklist of items to consider when reviewing AI-related health projects, and a certificate of participation.

How it runs

Live online, 2.5 hours, with a maximum of 15 participants and time to ask questions throughout. Sessions are not recorded and the Chatham House Rule applies, which makes it easier to speak frankly.

Part of a series

AI Ethics runs online seminars on the ethical and social implications of artificial intelligence. This seminar builds on History and Shape of Artificial Intelligence, which is a pre-requisite and covers the origins of AI, how contemporary systems work, and the key debates. Details of all seminars at ai-ethics.au.

Presented by

Dr Peter Douglas, an AI ethicist with a background in academic philosophy and biomedical ethics, and three decades as a university educator. He is an IEEE CertifAIEd Authorized Assessor, holds an AI & Algorithm Auditor Certification from BABL AI, and conducts socio-technical evaluations and audits of AI systems.