麻豆传媒资源

An Artificial Intelligence Code of Conduct for Health and Medicine Publication Release Webinar

This release webinar will discuss key findings from a new NAM special publication, , drawing attention to the Code of Conduct Framework, translating and applying the Code, and an overview of key priorities.

An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action presents an AI Code of Conduct (AICC) framework developed to align the field and catalyze collective action to ensure that the transformative potential of AI in health, health care, and biomedical science is realized. .

Agenda Overview

  • Welcome & Webinar Overview
    • Victor J. Dzau & Michael McGinnis, National Academy of Medicine
  • Overview of An Artificial Intelligence Code of Conduct for Health and Medicine: Essential Guidance for Aligned Action
    • Roy Jakobs, Philips
    • Bakul Patel, Google
  • Application of the Code of Conduct
    • Overview of Applying the Code of Conduct
      • Peter Lee, Microsoft
    • Applying the Code of Conduct
      • Andrew Bindman, Kaiser Permanente
      • Grace Cordovano, Enlightening Results
      • Jodi Daniel, Wilson Sonsini Goodrich and Rosati
      • Kadija Ferryman, Johns Hopkins University
      • Kedar Mate, Qualified Health
      • Deven McGraw, Citizen Health
      • Philip Payne, BJC HealthCare, Washington University School of Medicine
      • Vardit Ravitsky, The Hastings Center, Harvard Medical School
      • Suchi Saria, Bayesian Health, Johns Hopkins University
  • Priority Actions
    • Gianrico Farrugia, Mayo Clinic

 


The 麻豆传媒资源, National Academy of Engineering, and National Academy of Medicine鈥攃ollectively, the National Academies鈥攁re independent, non-partisan, and tax exempt. The mission of the National Academies is the provision of trusted, evidence-based advice. It is essential to the execution of the mission that participants in our meetings or events avoid political or partisan statements or commentary and maintain a culture of mutual respect. Statements and presentations made are solely those of the individual participants and do not necessarily represent the views of other participants or the National Academies.