7th Global Gastroenterology and Artificial Intelligence Summit (Live) | September 2025-06 2025 7Th Global Ai Summit And Workshop Part 7

Video Transcription

Video Summary

Shannon Curtis, director of federal affairs at the AMA, discusses the ethical, legal, and leadership challenges shaping the future of AI in medicine. Key issues include building trust among physicians and patients, ensuring safety, and clarifying liability for AI-related harms. Surveys show growing physician optimism about AI's potential to enhance patient care, yet concerns remain about safety, data privacy, bias, liability, and impacts on the physician-patient relationship. Curtis emphasizes the need for transparency, explainability, appropriate regulation, federal data privacy legislation, and strong physician oversight throughout AI development and deployment. The FDA regulates some AI medical devices but gaps remain, especially with emerging tools like large language models. Legal responsibility for AI errors is complex, with AMA advocating shared responsibility between developers and physicians. Emerging ethical questions involve AI agents practicing medicine, physician de-skilling, the digital divide, and changes to patient trust. Physician advocacy and specialty-specific leadership are critical to guide AI integration, set standards, and ensure safe, equitable adoption in healthcare.

Meta Tag

Concept Medical AI

Concept Trust

Concept Safety

Concept Bias

Concept Ethics

Keywords

AI in medicine

physician trust

AI safety and liability

federal data privacy legislation

ethical challenges in healthcare AI

Medical AI

Trust

Safety

Bias

Ethics