Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs
Date: 2025-10-01
The paper examines ethical and societal implications of personalization in big data and machine learning for healthcare, focusing on glucose monitoring and anomaly detection. It reveals that personalization can introduce new trade-offs, sometimes worsening ethical and practical issues, challenging the assumption that personalization is inherently beneficial and calling for revised mitigation strategies.