Data Ethics: Practical Strategies for Implementing Ethical Information Management and Governance

✍ Scribed by Katherine O'Keefe, Daragh O Brien

• Publisher: Kogan Page
• Year: 2023
• Tongue: English
• Leaves: 393
• Edition: 2
• Category: Library

✦ Synopsis

Data-gathering technology is more sophisticated than ever, as are the ethical standards for using this data. This second edition shows how to navigate this complex environment.

Data Ethics provides a practical framework for the implementation of ethical principles into information management systems. It shows how to assess the types of ethical dilemmas organizations might face as they become more data-driven. This fully updated edition includes guidance on sustainability and environmental management and on how ethical frameworks can be standardized across cultures that have conflicting values. There is also discussion of data colonialism, the challenge of ethical trade-offs with ad-tech and analytics such as Covid-19 tracking systems and case studies on Smart Cities and Demings Principles.

As the pace of developments in data-processing technology continues to increase, it is vital to capitalize on the opportunities this affords while ensuring that ethical standards and ideals are not compromised. Written by internationally regarded experts in the field, Data Ethics is the essential guide for students and practitioners to optimizing ethical data standards in organizations.

✦ Table of Contents

Cover
Contents
Foreword
Introduction: Why write a book on data ethics?
01 Ethics in the context of data management
What will we cover in this chapter?
Ethics and the evolution of technology
Privacy and the environment: two examples of ethical questions in data
The evolution of privacy and technology
Data ethics and environmental concerns
Volkswagen’s ‘dieselgate’ scandal
Other ethical dilemmas
The drive for effective ethics in information management
Chapter summary
Questions
Notes
Further reading
References
02 Introduction to ethical concepts and frameworks
What will we cover in this chapter?
Introduction
Ethical theories you should know about
Relational ethics
Current concepts in data ethics: data colonialism and ethics washing
Common elements of ethical frameworks
Chapter summary
Questions
Notes
Further reading
References
03 Ethical principles, standards and practice
What will we cover in this chapter?
Principles
Developing ethical data principles
Looking at data ethics principles in practice
Seeking the ‘ethic of society’ – where to look for ethical inspiration
Conclusion
Chapter summary
Questions
Notes
References
04 Ethics, privacy and analytics
What will we cover in this chapter?
Analytics and data science: an ethical challenge
What is data analytics?
The ethical issues in data analytics
Chapter summary
Questions
Notes
Further reading
References
05 Ethics and data management (including AI)
What will we cover in this chapter?
Introduction
Introducing data management
Introducing data governance
Introducing data quality management
Introducing data modelling
Introducing data warehousing and business intelligence
Big Data, AI and machine learning
The role of data literacy and data acumen in data ethics
The ethical question of data-enabled actions
Chapter summary
Note
Further reading
References
06 Developing an ethical architecture for information management
What will we cover in this chapter?
Data ethics and information architecture – what is the connection?
Implementing ethical architecture: common challenges
Zachman, ethical architecture and the long-term vision
Chapter summary
Questions
Note
Further reading
References
07 Introducing the Ethical Enterprise Information Management (E2IM) framework
What will we cover in this chapter?
Building a model for ethical enterprise information management
Ethics and Big Data
Conclusion
Chapter summary
Questions
Further reading
References
08 Information ethics as an information quality system
What will we cover in this chapter?
Ethics as a quality system
Applying quality management principles to ethical information management
Chapter summary
Questions
Notes
Further reading
References
09 Information ethics and data governance
What will we cover in this chapter?
Introduction
How data governance supports ethics
Principles and modes of governance
Communication of ethical values and supporting ethical values through stewardship and governance
Using storytelling to communicate values
Data review boards
Change management
Chapter summary
Questions
Note
Further reading
References
10 Information ethics and risk: Tools and methods for identifying and managing ethical risk
What will we cover in this chapter?
Introduction
Looking for parallel models
Privacy by Design
Ethics by Design
Privacy engineering
The E2IM ethical impact assessment model
Chapter summary
Questions
Note
Further reading
References
11 Data ethics: the bigger picture
What will we cover in this chapter?
Introduction
Tackling the wicked problem
Beyond data literacy: data acumen
Educating the ethic of the individual
Educating the ethic of the organization
Educating the ethic of society
Educating to mitigate ‘ethics washing’
Education on ethics
Conclusion
Chapter summary
Note
References
And in conclusion...
Index