The article discusses the integration of artificial intelligence (AI) in oncology, highlighting its potential applications throughout a patient’s cancer journey, from clinical trial matching to treatment planning. It emphasizes the need for responsible AI governance frameworks tailored specifically to oncology to ensure quality assurance and address the unique challenges in the field.
Responsible AI goes beyond ethics; it requires control, clarity, and performance to ensure that AI systems are not only ethical but also usable. Key design principles such as transparency, accountability, privacy, safety, and fairness must be embedded throughout the AI lifecycle to achieve real value and build trust.
The EU AI Act, effective since February 2025, establishes a risk-based regulatory framework for AI systems and mandates a sufficient level of AI literacy among personnel. As the implementation landscape evolves, organizations must navigate new guidance and potential delays in enforcement of key provisions.