Yogarajan, V., Dobbie, G., Leitch, S., & Reith, D. (2023). Developing a Fair AI-based Healthcare Framework with Feedback Loop. The 6th international workshop on Knowledge Discovery in Healthcare Data (KDH).
Dr Vithya Yogarajan, Research Fellow, School of Computer Science, University of Auckland
Abstract
Artificial intelligence (AI) driven technological advances have increased the concerns over the bias problem, especially in high stake applications such as healthcare. This research proposes an AI-based healthcare framework with a feedback loop to ensure a fair real-world practical solution. We argue the need to consider continuous quality improvements of such technologies by including feedback at each development and deployment stage. Furthermore, medical experts, AI experts and policymakers must work together to ensure fairness. We use simple New Zealand-based patient data as a case study. We provide early-stage experimental results using machine learning algorithms where fairness and mitigation are also considered in addition to accuracy measures.
Read the full paper here: https://ceur-ws.org/Vol-3479/paper9.pdf
Presenting AI and Healthcare at The Australian and New Zealand Society of Occupational Medicine Conference 2023
Last week, Dr Vithya Yogarajan also delivered an insightful presentation titled “AI and Healthcare” at The Australian and New Zealand Society of Occupational Medicine Conference 2023. This was a part of her role as an Expert Panel member of AI and healthcare at the Office of the Prime Minister’s Chief Science Advisor. See her slide deck here: Occupational Health – Vithya