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Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology.

Brian R Jackson1, Hooman H Rashidi2, Jochen K Lennerz3

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Generative artificial intelligence (GenAI) offers significant potential in pathology and laboratory medicine but also presents new risks. Ethical frameworks are essential for responsible GenAI development and deployment in healthcare.

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Area of Science:

  • Medical Technology
  • Artificial Intelligence in Healthcare
  • Pathology and Laboratory Medicine

Background:

  • Generative artificial intelligence (GenAI) is increasingly explored in pathology and laboratory medicine.
  • While promising, GenAI introduces novel risks for patients, communities, professionals, and the scientific process.

Purpose of the Study:

  • To summarize current frameworks for the ethical development and management of GenAI in healthcare settings.

Main Methods:

  • Analysis of scientific journals.
  • Review of organizational websites.
  • Examination of recent guidelines on artificial intelligence ethics and regulation.

Main Results:

  • Literature on AI ethics in medicine is extensive but nascent due to evolving technology.
  • Effective GenAI integration requires robust processes and shared accountability.
  • A multifaceted ecosystem of safety and ethical oversight is crucial.

Conclusions:

  • Maximizing GenAI benefits and mitigating risks necessitates a collaborative approach.
  • Shared accountability among vendors, healthcare organizations, regulators, and professionals is key.
  • Ongoing development requires continuous adaptation of ethical oversight mechanisms.