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Augmented intelligence and dermatology-Part II: Bias, benchmarks, guidelines, ethics, regulation, and future
Edwin Dovigi1, Shannon Wongvibulsin2, Ivy Lee3
1Department of Dermatology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Abstract:
Despite the proliferation of artificial intelligence (AI) tools, numerous challenges remain in the development and evaluation of AI-related technologies. Furthermore, a practice gap exists in how to responsibly implement AI effectively, ethically, and legally in dermatology. Part 2 of this CME review series will explain the key technical challenges and principles of trustworthy and responsible AI as well as describe the ethical challenges and review resources to help guide safe, effective, and ethical AI in dermatology. This content will empower learners to critically analyze these tools and determine whether an AI solution is appropriate for their specific clinical need, patient, and practice setting.
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