Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology

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.