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Jean-Enno Charton: Operationalizing AI Ethics

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Manage episode 418531612 series 3567138
Content provided by Kevin Werbach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Werbach or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 418531612 series 3567138
Content provided by Kevin Werbach. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kevin Werbach or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

17 episodes

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