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Lotanna Nwandu on Muck Rack

Lotanna Nwandu

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Articles

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

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By Haoyu Hu, Haoran Zhang, Will Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Erik Duhaime, Asif Qasim, Hause Lin, Janis Pereira, Paulius Mui, Alejandro Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi, Lotanna Nwandu, Jonathan Hershon
| Nature Verified
Abstract Artificial intelligence (AI) is increasingly permeating healthcare, from serving as a physician assistant to powering consumer applications. The opacity of AI algorithms makes the ability of humans to interact with AI algorithms challenging. To overcome this limitation, explainable AI (XAI) provides insight into AI decision-making, but evidence suggests that XAI can paradoxically induce bias in the human decision-making process.
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