AI systems can help people to solve very complex problems. By integrating multidisciplinary care, you're actually making it better. It has the potential to reshape medicine to revolutionise how we diagnose, treat and prevent disease. 

However, all those AI systems have some vulnerabilities. So in this project, we aim to strengthen the security of AI systems embedded in healthcare.

We have a huge responsibility. To provide ethical practice in healthcare, especially when we need to protect the user's data and privacy in order to get the trust in using these technologies. 

We have to make sure that privacy is protected, the autonomy of the patients is protected. It's the patient's decision to actually make sure that their data is going to be used appropriately.

This project came across as a really great opportunity with CSIRO and Data 61, and colleagues of mine to really look at the development of data and technology. 

And the application and adoption into real world healthcare. We are trying to utilise our skills in computer science and then in health to provide real world solutions for existing problems.

So there is a great potential, but we're not quite there yet. 

And this project should add to being able to understand how that machine learning can be used with people who use assistive technologies to improve their uptake and ability of those technologies to support their life whilst not creating extra vulnerabilities that we hadn't thought about yet.