| Sumario: | The article discusses the importance of implementing an "Ethics by Design" (EbD) framework in the development of machine-learning models for medical applications, particularly to mitigate bias and uphold ethical standards. It emphasizes the need for clearly defined AI ethics principles that encompass fairness, transparency, and accountability, and advocates for the integration of ethicists and developers throughout the AI development process. The article also highlights the role of Ethics Value Leads (EVLs) in bridging technical development and ethical oversight, and suggests establishing a centralized AI ethics governance body to oversee ethical considerations. Overall, the proposed EbD framework aims to create ethically resilient medical AI systems that prioritize patient-centric values and address complex ethical dilemmas beyond bias mitigation.
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