Who writes the note: The training data behind artificial intelligence scribes in dermatology

Artificial intelligence scribes are increasingly used to reduce clinical documentation burden, but ethical evaluation must extend beyond efficiency to include training, governance, privacy, and patient trust. Because artificial intelligence systems rely on human-generated data, annotation errors and biases may become embedded and affect clinical documentation, particularly in dermatology, where nuanced patient narratives and sensitive information are essential. Concerns regarding transparency, secondary data use, and physician accountability highlight the need for strong safeguards and human oversight. Responsible adoption of artificial intelligence scribes requires careful attention to the human systems behind these technologies, not only their technical performance.