The medical community has recently seen an unprecedented surge in literature regarding the use of artificial intelligence (AI) in health care. With machine learning algorithms and predictive analytics, AI has infiltrated electronic medical records, learning platforms, datasets, and more.

We applaud the editorial by Sullivan et al for encouraging graduate medical education trainees, programs, faculty, and institutions to share how they are utilizing AI technology.1  However, despite the increased awareness and discourse surrounding AI technology, there remains a substantial deficit in its integration within medical curricula internationally. Weidener and Fischer conducted a scoping review on AI curricula in medical education and identified a scarcity of literature, notably a lack of empirical studies and foundational definitions concerning AI ethics.2  Additionally, survey studies have indicated that medical students recognize the need for curricula that incorporates these technological advances, which will inevitably shape future practice.3 

It is imperative for resident physicians and medical students to recognize the limitations of AI and the avenues through which bias and misinformation can be introduced. An understanding of the principles of privacy, informed consent, transparency, and accountability, as they pertain to both the utilization of AI in patient data models and health care decision-making, is crucial for fostering trust between patients and physicians regarding AI.

As the landscape of AI evolves at a rapid pace, we acknowledge that the challenges of incorporating AI curricula in medical education are substantial. However, so too are the potential consequences if physicians enter this landscape unprepared; without proper ethical comprehension of these emerging technologies, there is a risk for perpetuating harm and bias in medicine.

We urge medical educators to facilitate opportunities for medical students and residents to engage with ethical principles of AI under the guidance of experts. Innovative educational initiatives should continue to be trialed and shared within the medical educator community. We need to ensure that health care professionals not only are adept at leveraging AI to their advantage but also are prepared to navigate the evolving ethical dilemmas posed by these technologies.

1. 
Sullivan
GM,
Simpson
D,
Yarris
LM,
Artino
AR
.
Residents, faculty, and artificial intelligence: brave new world or utopia?
J Grad Med Educ
.
2023
;
15
(
5
):
517
-
519
.
2. 
Weidener
L,
Fischer
M.
Teaching AI ethics in medical education: a scoping review of current literature and practices
.
Perspect Med Educ
.
2023
;
12
(
1
):
399
-
410
.
3. 
Civaner
MM,
Uncu
Y,
Bulut
F,
Chalil
EG,
Tatli
A.
Artificial intelligence in medical education: a cross-sectional needs assessment
.
BMC Med Educ
.
2022
;
22
(
1
):
772
.