ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026
Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education.
Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
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 However, these benefits are accompanied by growing concerns regarding misinformation, hallucinatory content, outdated recommendations, and the potential for harmful health decisions.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.
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