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Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies.

António Bandeira1,2, Luis Henrique Gonçalves3, Felix Holl4,5

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Artificial intelligence (AI) presents both opportunities and risks for population health and healthcare delivery. This viewpoint explores AI

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Area of Science:

  • Public Health
  • Health Informatics
  • Artificial Intelligence

Background:

  • Rapid advancements in artificial intelligence (AI), including large language models and generative AI, are transforming the information landscape.
  • These AI advancements pose significant risks to population health and healthcare delivery, particularly concerning information creation, consumption, and amplification.
  • Navigating the consequences of AI requires thoughtful approaches from policy, governance, and professional perspectives.

Purpose of the Study:

  • To explore the future of public health and AI in the context of the evolving health information environment.
  • To examine the dual aspects of disinformation and AI, and the role of health professionals within an AI-driven ecosystem.
  • To gather perspectives from young adult professionals globally on AI's impact on public health.

Main Methods:

  • A collaborative viewpoint article involving working groups from the World Federation of Public Health Associations.
  • Inclusion of perspectives, concerns, and aspirations from young adult professionals across 5 continents with diverse backgrounds.
  • Discussion divided into two parts: disinformation and AI, and the role of professionals in an AI-driven health information ecosystem.

Main Results:

  • Identified risks associated with AI in information dissemination and its impact on population health.
  • Explored the challenges and opportunities for public health and medical professionals in an AI-influenced environment.
  • Highlighted concerns regarding information overload, misinformation propagation, and ethical considerations.

Conclusions:

  • Emphasized the need for thoughtful approaches to manage AI's impact on health information and healthcare.
  • Concluded with 5 key recommendations to address challenges like disinformation, ethical shifts, and policy needs.
  • Stressed the importance of robust, dynamic policies to manage current and future AI-related health challenges.