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
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 15 Societal Concerns
- Chapter 16 Education and Intelligent Discourse
- Chapter 17 Regulation
- Chapter 18 Research and Development
- Chapter 19 Quality and Ethical Governance
- Recap of Part IV: Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Chapter 15 - Societal Concerns
from Part IV - Addressing Concerns
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
- Part III Challenges in Applying Data Science
- Part IV Addressing Concerns
- Chapter 15 Societal Concerns
- Chapter 16 Education and Intelligent Discourse
- Chapter 17 Regulation
- Chapter 18 Research and Development
- Chapter 19 Quality and Ethical Governance
- Recap of Part IV: Addressing Concerns
- Chapter 20 Concluding Thoughts
- Appendix Summary of Recommendations from Part IV
- About the Authors
- References
- Index
Summary
This chapter summarizes societal concerns surrounding data and automation. It is informed not only by what is being discussed by politicians and journalists, but also by the challenges discussed in previous chapters. Examples include societal concerns over data science’s impact on inequality, the scale of large, data-science-oriented companies and the influence of social networks.
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- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 231 - 236Publisher: Cambridge University PressPrint publication year: 2022