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 policy makers 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.
Keywords Healthcare framework, Artificial intelligence, Continuous quality improvements, Bias, Fairness