Isaac Kohane | What’s in a label? The case for and against monolithic group/ethnic/race labeling ...
Symposium on Foundations of Responsible Computing (FORC) 2022 6/7/2022
Speaker: Isaac Kohane, Harvard Medical School
Title: What’s in a label? The case for and against monolithic group/ethnic/race labeling for machine learning
Abstract: Populations and group labels have been used and abused for thousands of years. The scale at which AI can incorporate such labels into its models and the ways in which such models can be misused are cause for significant concern. I will describe, with examples drawn from experiments in precision medicine, the task dependence of how underserved and oppressed populations can be both harmed and helped by the use of group labels. The source of the labels and the utility models underlying their use will be particularly emphasized.
Видео Isaac Kohane | What’s in a label? The case for and against monolithic group/ethnic/race labeling ... канала Harvard CMSA
Speaker: Isaac Kohane, Harvard Medical School
Title: What’s in a label? The case for and against monolithic group/ethnic/race labeling for machine learning
Abstract: Populations and group labels have been used and abused for thousands of years. The scale at which AI can incorporate such labels into its models and the ways in which such models can be misused are cause for significant concern. I will describe, with examples drawn from experiments in precision medicine, the task dependence of how underserved and oppressed populations can be both harmed and helped by the use of group labels. The source of the labels and the utility models underlying their use will be particularly emphasized.
Видео Isaac Kohane | What’s in a label? The case for and against monolithic group/ethnic/race labeling ... канала Harvard CMSA
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