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Navigating the Ethical Landscape of AI in Healthcare: Insights from a Content Analysis
  • Yin Wu ,
  • Xiang Michelle Liu
Xiang Michelle Liu
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Artificial intelligence (AI) is revolutionizing healthcare, but it also poses ethical challenges that must be addressed. This study employs a content analysis approach to analyze primary policy documents and peer-reviewed articles related to ethical issues of AI in healthcare, providing insights into the ethical landscape of AI in this critical domain. While transparency and explainability are vital issues, our research highlights the need for more region-specific discussions on the ethical considerations surrounding AI in healthcare. Inclusiveness and equity of access to AI technology in healthcare must also be taken into account when designing future standards and legislation frameworks. Our findings have important implications for policymakers, healthcare professionals, and stakeholders, as they seek to navigate the complex ethical landscape of AI in healthcare. This study provides valuable insights into the critical ethical considerations surrounding AI in healthcare, and emphasizes the need for continued attention to this important issue by the broader interdisciplinary community of researchers, policymakers, ethicists, and stakeholders in the intersection of technology and society.
Sep 2023Published in IEEE Technology and Society Magazine volume 42 issue 3 on pages 76-87. 10.1109/MTS.2023.3306543