JAMA+ AI Conversations

Amid the surging buzz around artificial intelligence (AI), can we trust the Al hype, and more importantly, are we ready for its implications? In this Q&A, Arvind Narayanan, PhD, a professor of computer science at Princeton, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the exploration of Al's fairness, transparency, and accountability. Related Content:

• How to Navigate the Pitfalls of AI Hype in Health Care

Artificial intelligence holds the promise of revolutionizing disease diagnosis and prediction, but it also presents a pivotal challenge: ensuring equity. In this Q&A, Alondra Nelson, PhD, the Harold F. Linder Professor at the Institute for Advanced Study, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the equitable regulation of AI to benefit all populations. Related Content:

• How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews John Ayers, PhD, MA, vice chief of innovation in the Division of Infectious Diseases & Global Public Health, deputy director of informatics in the Altman Clinical and Translational Research Institute, and affiliate scientist in the Qualcomm Institute, all at UC San Diego, to discuss how genAI programs like ChatGPT can increase communication pathways and improve patient outcomes. Related Content:

• How AI Assistants Could Help Answer Patients' Messages—and Potentially Improve Their Outcomes

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Nigam Shah, MBBS, PhD, professor of medicine at Stanford University and chief data scientist at Stanford Health Care, to discuss how large language models are reshaping medicine and the potential pitfalls of automation. Related Content:

• Clinical AI Tools Must Be Fed the Right Data, Stanford Health Care's Chief Data Scientist Says
• Creation and Adoption of Large Language Models in Medicine

AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in computer science at Johns Hopkins, to discuss how AI could streamline care. Related Content:

• Can Predictive AI Improve Early Detection of Sepsis and Other Conditions?

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of physicians and clinicians. Related Content:

• AI Will—and Should—Change Medical School, Says Harvard's Dean for Medical Education
• Transformation of Undergraduate Medical Education in 2023

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, talks with Andrew Bindman, MD, an internist and the executive vice president and chief medical officer for Kaiser Permanente, about AI implementation and the importance of building trust in a health care system. Related Content:

• Kaiser Permanente's CMO: How AI Might Help Clinicians Address Patients' Social Risk Factors

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Kedar S. Mate, MD, an internal medicine physician, President and Chief Executive Officer at the Institute for Healthcare Improvement, and faculty at Weill Cornell Medical College, to discuss AI's role in health care quality and approaches to improving health equity. Related Content:

• New AI Tools Must Have Health Equity in Their DNA

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Kevin B. Johnson, MD, MS, the David L. Cohen and Penn Integrates Knowledge University Professor of Pediatrics, Informatics, Engineering, and Communication at the University of Pennsylvania, discuss how AI can reduce clinician burden and streamline health system functions. Related Content:

• Electronic Health Records Failed to Make Clinicians' Lives Easier—Will AI Technology Succeed?

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Ida Sim, MD, PhD, a primary care physician and UCSF's Chief Research Informatics Officer, discuss generative AI, large language models, and the ways in which AI could affect humanity in medicine. Related Content:

• The Promise and Pitfalls of AI in the Complex World of Diagnosis, Treatment, and Disease Management