Amidst a growing movement to use science for positive change, 'Ethical Data Science' offers a solution-oriented approach to the ethical challenges of data science. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction.

Also issued in print: 2023.

Intro -- Title Page -- Copyright Page -- Contents -- Introduction: Ethical Data Science -- Prologue: Tracing Ethics in the Prediction Supply Chain -- 1. Source: Data Are People Too -- 2. Model: Dear Validity, Advice for Wayward Algorithms -- 3. Compare: No Comparison Without Representation -- 4. Optimize: Data Science Reasoning -- 5. Learn: For Good -- 6. Predict: Show Us Your Work or Someone Gets Hurt -- 7. Conclusion: Prediction in the Public Interest -- References -- Index.