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AI Governance: A Challenge for Public Health.

Jennifer K Wagner1,2,3,4,5,6,7, Megan Doerr8, Cason D Schmit9

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Summary

Public health principles can guide artificial intelligence (AI) governance. Integrating concepts like harm reduction and social determinants of health can create equitable AI development and maximize public health benefits.

Keywords:
AIAI governanceartificial intelligenceengagementharm reductioninvisible algorithmslegislation and jurisprudencemodern lifeone healthpublic healthsocial determinants of healthsoft lawtraditional regulation

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Area of Science:

  • Public Health
  • Artificial Intelligence Governance
  • Health Informatics

Background:

  • Artificial intelligence (AI) is increasingly shaping societal determinants of health through algorithms.
  • AI offers significant potential for public health advancements, including precision medicine.
  • Establishing effective AI governance to balance benefits and risks remains a critical challenge.

Purpose of the Study:

  • To explore how public health concepts can enhance artificial intelligence (AI) governance frameworks.
  • To identify strategies for maximizing AI's public health benefits while mitigating risks.
  • To propose an integrated approach for responsible AI development in health.

Main Methods:

  • Application of public health theories to AI governance challenges.
  • Analysis of harm reduction principles for regulatory approaches.
  • Integration of social determinants of health understanding into AI risk-benefit assessments.
  • Utilizing public health ethics for decision-making at the intersection of individual and collective interests.
  • Adoption of a One Health approach for holistic AI governance.

Main Results:

  • Harm reduction offers a balanced framework for AI regulation.
  • Understanding social determinants of health is vital for assessing AI's impact.
  • Public health ethics provides tools for navigating complex AI governance decisions.
  • A One Health approach enhances AI governance effectiveness and public health outcomes.

Conclusions:

  • Public health perspectives significantly enrich AI governance.
  • Integrating public health concepts promotes more equitable and socially beneficial AI development.
  • AI governance informed by public health can lead to improved population health outcomes.