Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information.
Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.
Author(s): Katherine O’Keefe, Daragh O Brien
Publisher: Kogan Page
Year: 2018
Language: English
Pages: 345
Tags: Ethical Data, Information Management
Cover......Page 1
Contents......Page 8
About the authors......Page 13
Acknowledgements......Page 14
List of abbreviations......Page 15
Introduction......Page 16
The tools of data gathering......Page 17
The tools of data analytics......Page 19
With great power comes great responsibility......Page 23
The data-driven dilemma......Page 24
The innovator’s dilemma......Page 26
Societal value versus individual rights – the root of our own dilemmas......Page 27
Introducing the rest of the book......Page 29
Questions......Page 30
References......Page 31
What will we cover in this chapter?......Page 34
Ethics and the evolution of technology......Page 35
The evolution of privacy and technology......Page 39
Other ethical dilemmas......Page 40
The drive for effective ethics in information management......Page 45
Questions......Page 48
References......Page 49
Introduction......Page 51
Ethical theories you should know about......Page 54
Common elements of ethical frameworks......Page 62
Note......Page 65
References......Page 66
What will we cover in this chapter?......Page 68
Analytics and data science: an ethical challenge......Page 69
The ethical issues in data analytics......Page 70
Chapter summary......Page 90
Notes......Page 91
References......Page 92
What will we cover in this chapter?......Page 96
Introduction......Page 97
Defining AI......Page 98
Ethical issues in AI......Page 99
Principles for accountable algorithms......Page 103
Specific examples of developments in AI with ethical impacts......Page 104
Who benefits? Justice and human dignity in AI development......Page 106
What does AI tell us about us?......Page 107
Questions......Page 108
Further reading......Page 109
References......Page 110
What will we cover in this chapter?......Page 112
Data governance......Page 113
Data architecture......Page 120
Data modelling......Page 124
Data quality management......Page 127
Data warehousing and business intelligence......Page 131
Data science and ‘big data’......Page 134
Chapter summary......Page 138
Further reading......Page 139
References......Page 140
What will we cover in this chapter?......Page 141
Information ethics and architecture – what is the connection?......Page 142
Implementing ethical architecture: common challenges......Page 165
Zachman, ethical architecture and the long-term vision......Page 166
Chapter summary......Page 167
References......Page 168
What will we cover in this chapter?......Page 171
Building a model for ethical enterprise information management......Page 172
Ethics and big data......Page 192
Conclusion......Page 196
Questions......Page 198
References......Page 199
What will we cover in this chapter?......Page 201
Ethics as a quality system......Page 202
Applying quality management principles to ethical information management......Page 205
Questions......Page 234
References......Page 235
Introduction......Page 238
How data governance supports ethics......Page 239
Principles and modes of governance......Page 241
Chapter summary......Page 266
Further reading......Page 267
References......Page 268
What will we cover in this chapter?......Page 270
Introduction......Page 271
Looking for parallel models......Page 273
Privacy by Design......Page 274
Privacy Engineering......Page 275
The E2IM Ethical Impact Assessment model......Page 278
Questions......Page 296
Further reading......Page 297
References......Page 298
What will we cover in this chapter?......Page 299
What is change management (and why does it often go wrong)?......Page 300
Chapter summary......Page 322
Further reading......Page 323
References......Page 324
And in conclusion…......Page 325
What is a data geek to do?......Page 326
References......Page 330
Index......Page 332
