Algorithmic Bias from the Perspectives of Healthcare Professionals
Summary
- A new paper examines algorithmic bias in healthcare AI and information systems from the perspective of healthcare professionals.
- The study uses quantitative survey data and qualitative interviews involving clinical and administrative staff.
- Findings show that healthcare professionals' views on algorithmic bias causes, assessment criteria, fairness, and mitigation vary by job role and tasks.
- The research highlights how these perceptions influence the intended acceptance and adoption of machine learning algorithms and their outputs.
Why it matters
Understanding how different healthcare roles perceive algorithmic bias helps organizations design fairer AI systems and improve clinical adoption. It highlights the human factor in deploying trustworthy artificial intelligence in sensitive domains.