Abstract
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.
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Authors
Prajakta KolteSoham Sengupta
Topics
Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI