Common risks of AI integration in nursing education include technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias¶

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Across the 28 included studies, the review identifies technological inequities, faculty preparedness gaps, and privacy/bias ethics concerns as common risks of AI integration. → Alrazeeni 2026

Evidence¶

Alrazeeni 2026¶

Alrazeeni, D. M., Alharrasi, M., Khan, R. M. K., Biswas, R. K., Tama, I. J., Halder, C. R., Deb, B., Bashar, F., & Akter, F. (2026). Transforming Nursing Education with Artificial Intelligence: A Systematic Review (2010–2025). SAGE Open Nursing. https://doi.org/10.1177/23779608261424597

q2 · i? · review · r3

The review's thematic synthesis of 28 studies concludes that "Common risks included technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias." This is the review's narrative synthesis; no effect sizes are printed.

"Common risks included technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias."

Discussion¶

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