Ethical Data and Information Management: Concepts, Tools and Methods

Description

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. 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