From Innovation to Inequity? Evaluating Bias in AI-Based Healthcare Systems

Artificial intelligence (AI) is increasingly integrated into healthcare systems for diagnosis, treatment planning and healthcare cost. However, there is emerging evidence this fast adoption of AI perpetuates different biases in medical care. The paper examines different algorithmic biases in healthcare and how these biases are impacting different levels of AI decision making. Additionally, we propose a few solutions to address these biases to create a fair AI model. Addressing bias in healthcare AI is essential to ensuring equitable, safe, and effective medical technologies for all populations.