Real World AI Ethics for Data Scientists
Practical Case Studies
- Available for pre-order on March 23, 2023. Item will ship after April 13, 2023
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In the midst of the 4th industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists - the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse and inclusive way, the ethical compass of those entrusted with big data.
Being practical, the book provides seven real world case studies dealing with big data abuse. These cases span a range of topics from the statistical manipulation of research in the Cornell food lab, through the Facebook user data abuse done by Cambridge Analytica, to the abuse of farm animals by AI, in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse. Diverse and inclusive given the global nature of this revolution, the book provides case-by-case commentary on the cases by scholars representing non-western ethical approaches (Buddhist, Jewish, Indigenous and African) as well as western approaches (consequentialism, deontology and virtue).
We hope that this book will be a light house for those debating ethical dilemmas in this challenging and ever evolving field.
Table of Contents
1. Science & Statistics: Reproducibility 2. Health and Welfare: NarxCare 3. Social Services:SyRI Welfare Reform 4. Social Services, Aaadhar 5. Criminal Justice: Sentencing Algorithms 6. Criminal Justice: Machine Learning & Evidence 7. Biometrics Surveillance 8. Society & Culture: Recommendation 9. Politics & Election: Sear Enginge Manipulation Effect 10. Politics & Election: News & Social Media Censorship 11. Politics & Elections: Neuropolitics 12. Politics & Elections: Cambridge Analytica
Nachshon (Sean) Goltz is an academic, entrepreneur and lawyer. His main interest is in the intersection of ethics, technology and history.
Tracey Dowdeswell is a Professor of criminology and legal studies at Douglas College. Her research interests focus on the intersection between law and data science.