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The Emerging Use of Artificial Intelligence in Der ...
Fair and Responsible AI for Dermatology
Fair and Responsible AI for Dermatology
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Video Transcription
Video Summary
In the video transcript, Roxanne Adonis-Jun discusses the importance of fair and responsible AI in dermatology. She highlights how biases in AI models can result from biased data input, emphasizing the need for diverse and representative datasets to mitigate these biases. Adonis-Jun also presents findings from a study testing AI algorithms on skin tones, showing significant performance disparities. She underscores the importance of testing AI models with diverse data and involving human decision-making to address biases effectively. Additionally, she mentions the significance of sharing de-identified datasets for advancing AI research in dermatology.
Keywords
fair AI
diverse datasets
skin tones
human decision-making
de-identified datasets
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