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 12 - Setting the Right Objectives
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 focuses on the challenges in setting the clear and proper objectives of a data science application, a necessity when the goals are to predict, optimize, or recommend. The main challenges include the clarity of the objectives, the balance of benefits across affected parties, fairness (a specific topic within the topic of balance), and the impact of the objectives on an individual: manipulation, filter bubbles (though these affect society as well), privacy, and being human.
- Type
- Chapter
- Information
- Data Science in ContextFoundations, Challenges, Opportunities, pp. 187 - 205Publisher: Cambridge University PressPrint publication year: 2022