Data Conscience: Algorithmic Siege on our Humanity delivers an incisive and eye-opening discussion of how to fix tech’s dominant philosophy of “move fast and break things” with a renewed focus on equity and oppression. The book explores how to address discrimination in the digital data space with several known algorithms, including social network analysis, linear regression and sentiment analysis. It describes the interlocking computational and civic implications of data on digital processes, structures and institutions.
About the Author:
Brandeis teaches, speaks and writes about the impact of data practices on technology and society. Brandeis founded and leads DataedX Group, a social impact business that provides learning and development activities on recognizing algorithmic harms and humanizing data practices for data educators, scholars and practitioners. Brandeis holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester.
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