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
- Chapter 8 Tractable Data
- Chapter 9 Building and Deploying Models
- Chapter 10 Dependability
- Chapter 11 Understandability
- Chapter 12 Setting the Right Objectives
- Chapter 13 Toleration of Failures
- Chapter 14 Ethical, Legal, and Societal Challenges
- Recap of 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 10 - Dependability
from Part III - Challenges in 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
- Part III Challenges in Applying Data Science
- Chapter 8 Tractable Data
- Chapter 9 Building and Deploying Models
- Chapter 10 Dependability
- Chapter 11 Understandability
- Chapter 12 Setting the Right Objectives
- Chapter 13 Toleration of Failures
- Chapter 14 Ethical, Legal, and Societal Challenges
- Recap of 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 addresses the four aspects of dependability: privacy, security, resistance to abuse, and resilience. To be accepted by society, data science applications must perform properly for a wide variety of users in a wide variety of circumstances, with few, if any, critical errors. Achieving needed dependability goals (for example, in self-driving cars or health-care applications) is one of the greatest challenges in data science.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 126 - 153Publisher: Cambridge University PressPrint publication year: 2022