Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people

Source: Nature.com· Xuhai ‘Orson’ Xu, Haoyu Hu, Haoran Zhang, Will Ke Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Lotanna Nwandu, Apoorva Mehta, Erik P. Duhaime, Asif Qasim, Hause Lin, Janis Karleen Pereira, Jonathan Hershon, Paulius Mui, Alejandro A. Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi· August 4, 2026
Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people
SynaBot summary

New research reveals that AI's ability to explain its reasoning in medical diagnoses affects users differently based on their expertise. While beneficial for doctors, these explanations can sometimes confuse or mislead the general public when assisting with dermatology.

Key takeaways

  • AI explanations benefit medical professionals in diagnosis.
  • Lay users may find AI reasoning confusing.
  • Tailoring AI explanations to user expertise is key.
  • AI's impact varies by user knowledge level.

Why it matters

Understanding how AI explanations impact users is crucial for developing effective AI tools. For professionals, clear reasoning builds trust and improves decision-making. For consumers, overly technical explanations might hinder comprehension, highlighting the need for tailored AI communication.

This story was reported by Nature.com. Read the full original article:
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