Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education

Generative artificial intelligence (AI) tools are increasingly being used by patients seeking cancer-related information, creating new opportunities for accessible and personalized cancer education. Large language models can simplify complex medical concepts, improve access to educational resources, and support patient engagement. However, these benefits are accompanied by growing concerns regarding misinformation, hallucinatory content, outdated recommendations, and the potential for harmful health decisions. As AI-generated information becomes more integrated into cancer education, an important ethical question emerges: who is responsible when AI provides inaccurate cancer information? This commentary examines the shared responsibilities of patients, healthcare professionals, healthcare organizations, and AI developers in ensuring the safe use of AI-generated cancer information. This commentary argues that accountability should not rest with a single stakeholder but instead be viewed as a shared responsibility across the cancer education ecosystem. The commentary further argues that AI literacy should become an essential component of modern cancer education to support informed decision-making and safeguard patient well-being.