Navigating the unseen peril: safeguarding medical imaging in the age of AI.

Journal: Frontiers in artificial intelligence
Published Date: Dec 9, 2024

Abstract

In response to the increasing significance of artificial intelligence (AI) in healthcare, there has been increased attention - including a Presidential executive order to create an AI Safety Institute - to the potential threats posed by AI. While much attention has been given to the conventional risks AI poses to cybersecurity, and critical infrastructure, here we provide an overview of some unique challenges of AI for the medical community. Above and beyond obvious concerns about vetting algorithms that impact patient care, there are additional subtle yet equally important things to consider: the potential harm AI poses to its own integrity and the broader medical information ecosystem. Recognizing the role of healthcare professionals as both consumers and contributors to AI training data, this article advocates for a proactive approach in understanding and shaping the data that underpins AI systems, emphasizing the need for informed engagement to maximize the benefits of AI while mitigating the risks.

Authors

  • Alexandra Maertens
    Center for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
  • Steve Brykman
    Independent Creative Technologist, Boston, MA, United States.
  • Thomas Hartung
    Center for Alternatives to Animal Testing (CAAT), Health and Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Andrei Gafita
    Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Harrison Bai
    Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • David Hoelzer
    SANS Technology Institute, Rockville, MD, United States.
  • Ed Skoudis
    SANS Technology Institute, Rockville, MD, United States.
  • Channing Judith Paller
    Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

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