The Do No Harm Book Collection
Transforming the Way We Think About Data, AI, and Justice
Welcome to the official home of the Do No Harm series, created by Dr. April C. Williams, The Ethical Data Doc. These books are written for everyday readers, professionals, educators, and leaders who want to understand how data and AI shape real lives and how to use technology responsibly, confidently, and without causing unintended harm.
Your journey begins here with the first two titles in the growing series.
Do No Harm: A Journey Through Justice, Data Governance, and the Ethics of AI
This foundational volume blends personal story, deep professional insight, and real-world examples to show how data and AI impact fairness, opportunity, and decision-making. A powerful introduction to data governance through the lens of justice, empathy, and accountability. Perfect for students, new professionals, and leaders seeking a human-centered understanding of data ethics.
Do No Harm: Before the Algorithm Decides
How Red Teaming AI Can Reveal Hidden Bias and Prevent Injustice at Scale
This follow-up book takes readers deeper into the world of AI decision-making and the risks hiding inside automated systems. Dr. Williams introduces red teaming as an accessible, practical approach for stress-testing AI to uncover bias before it affects people. Designed for leaders, teams, and organizations looking to build trustworthy AI with clarity and confidence.
Together, these books give readers a roadmap to navigate the rapidly changing world of data and AI with wisdom, courage, and a commitment to protecting people first.
Explore the series. Strengthen your understanding. Lead with intention.
The Do No Harm Book Collection
Transforming the Way We Think About Data, AI, and Justice
Welcome to the official home of the Do No Harm series, created by Dr. April C. Williams, The Ethical Data Doc. These books are written for everyday readers, professionals, educators, and leaders who want to understand how data and AI shape real lives and how to use technology responsibly, confidently, and without causing unintended harm.
Your journey begins here with the first two titles in the growing series.
Do No Harm: A Journey Through Justice, Data Governance, and the Ethics of AI
This foundational volume blends personal story, deep professional insight, and real-world examples to show how data and AI impact fairness, opportunity, and decision-making. A powerful introduction to data governance through the lens of justice, empathy, and accountability. Perfect for students, new professionals, and leaders seeking a human-centered understanding of data ethics.
Do No Harm: Before the Algorithm Decides
How Red Teaming AI Can Reveal Hidden Bias and Prevent Injustice at Scale
This follow-up book takes readers deeper into the world of AI decision-making and the risks hiding inside automated systems. Dr. Williams introduces red teaming as an accessible, practical approach for stress-testing AI to uncover bias before it affects people. Designed for leaders, teams, and organizations looking to build trustworthy AI with clarity and confidence.
Together, these books give readers a roadmap to navigate the rapidly changing world of data and AI with wisdom, courage, and a commitment to protecting people first.
Explore the series. Strengthen your understanding. Lead with intention.