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- Presentation
Ethics of Artificial Intelligence Use in Dermatology
Description
Eddie Davigi, a dermatology resident, presents on the ethics of artificial intelligence (AI) use in dermatology, emphasizing the need to address ethical threats throughout the AI model lifecycle. He begins by outlining basic ethical concepts and highlights the rapid evolution of AI in the medical field and the collaborative efforts of various organizations to establish ethical guidelines. Key ethical themes include transparency, fairness, privacy, and responsibility. Davigi discusses specific ethical threats, such as the black box problem, which raises concerns about diagnostic accuracy and liability, and drift, which involves changes in data that may affect AI performance over time. Through hypothetical clinical scenarios, he illustrates potential ethical dilemmas concerning informed consent, privacy, and conflicts of interest that can arise during the development and implementation of AI tools in dermatology. Davigi emphasizes that as AI tools advance, so too must the understanding and management of ethical issues associated with their use, urging practitioners to remain aware of these challenges to ensure responsible and fair application in patient care.
View moreConclusions
- The ethical framework for AI in dermatology includes principles such as transparency, justice, privacy, beneficence, and non-malfeasance.
- Ethical threats can arise at various stages of the AI model life cycle, including conception, development, implementation, and use.
- Issues such as diagnostic accuracy, informed consent, equity, and privacy are key concerns when using AI tools.
- Unique ethical challenges associated with AI include the 'black box' problem, which complicates understanding and liability for AI decisions.
- Data drift and concept drift can significantly impact the performance and ethical implications of AI algorithms over time.
- Efforts to characterize and mitigate ethical threats related to AI in dermatology are already in progress, but ongoing scrutiny is necessary as AI evolves.
- Anna Jobin, Marcello Lenca and Effy Vayena. The global landscape of AI ethics guidelines.