Communicating Genomic Risk in the Age of AI: Ethical, Legal, and Linguistic Challenges Across Multilingual and Multicultural Contexts

Advances in genomic medicine and artificial intelligence (AI) are transforming how genetic and genomic risk information is generated, interpreted, and communicated to patients, families, and the public. AI-driven tools increasingly support risk prediction, variant interpretation, and even the drafting of patient-facing genetic counseling materials. Yet these innovations raise pressing ethical, legal, and social implications (ELSI), particularly when genomic risk information must be conveyed across linguistic and cultural boundaries. Miscommunication, algorithmic bias, and inadequate translation of complex genomic concepts can exacerbate health disparities, undermine informed consent, and erode trust in genomic medicine, especially among multilingual, migrant, and underserved populations.This Research Topic seeks to explore the intersection of AI, genomics, and communication ethics, with particular attention to how linguistic and cultural diversity shapes the interpretation and delivery of genomic risk information. We welcome contributions examining: the ethical and legal implications of AI-assisted genetic counseling and risk communication; challenges of translating genomic and bioinformatic terminology across languages; the role of AI chatbots and natural language processing tools in patient education; regulatory and governance frameworks for AI in genomic risk disclosure; algorithmic bias and fairness in multilingual health communication; privacy and data protection concerns in cross-border genomic data sharing; and the impact of cultural context on patient understanding, autonomy, and decision-making regarding genetic risk.By bringing together perspectives from bioethics, genomics, linguistics, law, and AI governance, this Research Topic aims to advance interdisciplinary understanding of how emerging technologies can responsibly support equitable, accurate, and culturally sensitive genomic risk communication. Submissions should provide in-depth ELSI analysis rather than purely technical accounts of AI or genomic methods. This collection supports the section’s commitment to fostering dialogue among researchers, policymakers, and industry, and directly advances SDG 3 (Good Health and Well-being), SDG 9 (Industry, Innovation, and Infrastructure), SDG 16 (Peace, Justice, and Strong Institutions), and SDG 17 (Partnerships for the Goals).We invite original research, reviews, and perspective articles that critically engage with these themes to shape more inclusive, ethical, and linguistically responsive genomic communication practices worldwide. Topic editors: Rubén González Vallejo, Ericson Alieto, Carlos Alberto Gómez Cano Source: https://www.frontiersin.org/research-topics/83884/communicating-genomic-risk-in-the-age-of-ai-ethical-legal-and-linguistic-challenges-across-multilingual-and-multicultural-contexts