Book contents
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Part II Applying Data Science
- Chapter 4 Data Science Applications: Six Examples
- Chapter 5 The Analysis Rubric
- Chapter 6 Applying the Analysis Rubric
- Chapter 7 A Principlist Approach to Ethical Considerations
- Recap of Part II: Applying Data Science
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Chapter 7 - A Principlist Approach to Ethical Considerations
from Part II - Applying Data Science
Published online by Cambridge University Press: 29 September 2022
- Data Science in Context
- Reviews
- Data Science in Context
- Copyright page
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Introduction
- Part I Data Science
- Part II Applying Data Science
- Chapter 4 Data Science Applications: Six Examples
- Chapter 5 The Analysis Rubric
- Chapter 6 Applying the Analysis Rubric
- Chapter 7 A Principlist Approach to Ethical Considerations
- Recap of Part II: Applying Data Science
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Summary
This chapter illustrates how the Belmont principles, based on respect for persons, beneficence, and justice, can be applied in the context of data science. This principlist approach to ethics attempts to provide a shared analytic framework and vocabulary to help communities and teams resolve difficult questions. Principles are most useful when broad enough to be comprehensive and to capture, rather than ignore, the tensions that make questions of “right” and “wrong” so difficult.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 100 - 106Publisher: Cambridge University PressPrint publication year: 2022