Data Conscience
eBook - PDF

Data Conscience

Algorithmic Siege on our Humanity

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Data Conscience

Algorithmic Siege on our Humanity

About this book

DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY

EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY

Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use—and misuse—lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech.

In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change.

You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression

A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with:

  • Discussions of the importance of transparency
  • Explorations of computational thinking in practice
  • Strategies for encouraging accountability in tech
  • Ways to avoid double-edged data visualization
  • Schemes for governing data structures with law and algorithms

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Yes, you can access Data Conscience by Brandeis Hill Marshall in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Ethics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2022
Print ISBN
9781119821182
eBook ISBN
9781119821199

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. About the Author
  5. About the Technical Editor
  6. Acknowledgments
  7. Contents
  8. Foreword
  9. Introduction
  10. Part I Transparency
  11. Part II Accountability
  12. Part III Governance
  13. Appendix A Code for app.py
  14. Appendix B Code for screen.py
  15. Appendix C Code for search.py
  16. Appendix D Pseudocode for faceit.py
  17. Appendix E The Data Visualisation Catalogue’s Visualization Types
  18. Appendix F Glossary
  19. Index
  20. EULA