Generative AI in Healthcare: Advancing Innovation While Ensuring Equity and Responsibility
Generative AI is rapidly transforming healthcare—from drug discovery to real-time decision support. Yet, the power of these technologies depends on the data they’re built on. When datasets are biased or incomplete, AI can unintentionally reinforce health disparities.
Join us for a compelling webinar exploring how Responsible AI principles—fairness, transparency, privacy, and compliance—can guide the ethical use of AI in medicine and ensure equitable benefits for all. We’ll examine how generative AI models are trained and fine-tuned, and how to address data-driven inequities in healthcare systems.
Our speaker, Dr. Michal Rosen-Zvi, Director of Healthcare and Life Sciences at IBM Research and Chief Scientist at the Cleveland Clinic–IBM Discovery Accelerator, will share her insights from leading roles in the AHEAD project and other major European and Israeli healthtech initiatives.
Join us for a compelling webinar exploring how Responsible AI principles—fairness, transparency, privacy, and compliance—can guide the ethical use of AI in medicine and ensure equitable benefits for all. We’ll examine how generative AI models are trained and fine-tuned, and how to address data-driven inequities in healthcare systems.
Our speaker, Dr. Michal Rosen-Zvi, Director of Healthcare and Life Sciences at IBM Research and Chief Scientist at the Cleveland Clinic–IBM Discovery Accelerator, will share her insights from leading roles in the AHEAD project and other major European and Israeli healthtech initiatives.
Target: National contact points, Participants
Themes: Cluster 1 Health, Pillar 2
