Author

Ziad Obermeyer

Associate Professor of Health Policy and Management, Berkeley School of Public Health

@oziadias

Articles

Science

Dissecting racial bias in an algorithm used to manage the health of populations

Introduction Obermeyer et al. note both the growing attention to potential racial and gender biases within algorithms and the difficulty of obtaining access to real world algorithms – including the raw data used to design and train them – in order to understand how and why bias could appear in them. This study is important…

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