Balancing Personalised Medicine and AI Ethics : Insights from HT-Advance
At the French conference “Plan France Médecine Génomique 2025” (PFMG2025) in Marseille, which took place last summer, our consortium partner Université Paul Sabatier Toulouse III represented by Emmanuelle Rial-Sebbag and Pauline Rateau, showcased a poster on their work in the project .
It presents one of the challenges of HT-Advance, focusing on the complexities of using genetic data in research and the implications for AI system deployment.
This work sparks an important conversation about how we can balance innovation and personalised medicine with ethics and data integrity.
The poster being in French language, please find below a short summary in English:
The HT-Advance project faces significant ethical, legal, and technical challenges due to the sensitivity of genetic data used in AI systems. Although AI can improve personalised healthcare and hypertension management, it also heightens risks such as privacy breaches, algorithmic bias, discrimination, and diagnostic errors. Compliance with GDPR rules, especially data minimisation, pseudonymisation, and secure data-sharing agreements, is essential. Participants must retain strong rights over their data, including control over incidental findings. To prevent unfair outcomes, the project must use unbiased datasets, maintain human oversight, and follow ethical AI standards. Transparency and clear explanation of AI decisions are crucial to ensure trust and informed consent.







