Social justice meets data science in this startlingly insightful take on how to improve the world of tech

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.


Join rebel tech leaders who want
to build a better, more ethical world!


Expansive discussions of the importance of transparency and how to put computational thinking into practice


Strategies for encouraging accountability in tech and making misleading data visualization a thing of the past


Governance strategies—based on law, algorithms and forever learning—that can improve the way we interact with data