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Date and Location
Walid Haida
The deployment of AI in high-stakes domains holds immense potential to enhance human capabilities and accelerate progress. However, it also introduces risks that are broader in scale and impact than those encountered in routine applications. Against this backdrop, our discussion examines how these dynamics play out in healthcare—specifically in predictive medicine, diagnostics, and drug discovery—where AI’s promise to transform outcomes is matched by equally significant ethical and systemic challenges.
Drawing on the expertise of Dr. Miklós Szócska, Senior Fellow at the MRCBG and former Minister of State for Health in Hungary, we aim to provide a strategic overview of the foundational pillars necessary for responsible AI adoption, using healthcare as a lens through which to explore broader principles. While our focus is not on technical details, we seek to equip participants with a conceptual framework for understanding both the system requirements for AI implementation and the capabilities and risks associated with these technologies, drawing on real-world experience in healthcare systems.
This discussion is designed for those interested in what it takes to build sustainable AI capabilities, as well as for those wishing to understand how AI can address—or, in some cases, amplify—systemic challenges such as inequity, access, and accountability in healthcare delivery.