Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management.

Journal: BMJ global health
Published Date:

Abstract

INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health emergencies. As research on this crucial transformation remains limited, we conducted a modified Delphi study on the impact of AI on RCCE-IM.

Authors

  • Daniela Mahl
    University of Zurich, Switzerland.
  • Mike S Schäfer
    University of Zurich, Switzerland.
  • Stefan Adrian Voinea
    World Health Organization Regional Office for Europe, Copenhagen, Denmark.
  • Keyrellous Adib
    WHO Regional Office for Europe, UN City, Copenhagen, Denmark.
  • Ben Duncan
    World Health Organization Regional Office for Europe, Copenhagen, Denmark.
  • Cristiana Salvi
    World Health Organization Regional Office for Europe, Copenhagen, Denmark.
  • David Novillo-Ortiz
    Division of Country Health Policies and Systems, World Health Organization, Regional Office for Europe, Copenhagen, Denmark.