35 min
Jean-Enno Charton: Operationalizing AI Ethics The Road to Accountable AI
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- Technology
Join Professor Kevin Werbach and Jean-Enno Charton, Director of Digital Ethics and Bioethics at Merck KGAA, as they explore the ethical challenges of AI in healthcare and life sciences. Charton delves into the evolution of Merck's AI ethics program, which stemmed from their bioethics advisory panel addressing complex ethical dilemmas in areas like fertility research and clinical trials. He details the formation of a dedicated digital ethics panel, incorporating industry experts and academics, and developing the Principle at Risk Analysis (PARA) tool to identify and mitigate ethical risks in AI applications. Highlighting the significance of trust, transparency, and pragmatic solutions, Charton discusses how these principles are applied across Merck's diverse business units. Listen in to thoroughly examine the intersection between bioethics, trust, and AI.
Jean-Enno Charton is the Chief Data and AI Officer at Merck KGAA, a global pharmaceutical and life sciences company. He chairs the Digital Ethics Advisory Panel, focusing on ethical data use and AI applications within the company. Charton led the development of Merck's Code of Digital Ethics, guiding ethical principles such as autonomy, justice, and transparency in digital initiatives. A recognized speaker on digital ethics, his work contributes to responsible data-driven technology deployment in the healthcare and life sciences sector.
Merck Code of Digital Ethics
IEEE Ethically Aligned Design
Principle-at-Risk Analysis
Join Professor Kevin Werbach and Jean-Enno Charton, Director of Digital Ethics and Bioethics at Merck KGAA, as they explore the ethical challenges of AI in healthcare and life sciences. Charton delves into the evolution of Merck's AI ethics program, which stemmed from their bioethics advisory panel addressing complex ethical dilemmas in areas like fertility research and clinical trials. He details the formation of a dedicated digital ethics panel, incorporating industry experts and academics, and developing the Principle at Risk Analysis (PARA) tool to identify and mitigate ethical risks in AI applications. Highlighting the significance of trust, transparency, and pragmatic solutions, Charton discusses how these principles are applied across Merck's diverse business units. Listen in to thoroughly examine the intersection between bioethics, trust, and AI.
Jean-Enno Charton is the Chief Data and AI Officer at Merck KGAA, a global pharmaceutical and life sciences company. He chairs the Digital Ethics Advisory Panel, focusing on ethical data use and AI applications within the company. Charton led the development of Merck's Code of Digital Ethics, guiding ethical principles such as autonomy, justice, and transparency in digital initiatives. A recognized speaker on digital ethics, his work contributes to responsible data-driven technology deployment in the healthcare and life sciences sector.
Merck Code of Digital Ethics
IEEE Ethically Aligned Design
Principle-at-Risk Analysis
35 min