Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 232 mm, Gewicht: 608 g
Practical Strategies for Implementing Ethical Information Management and Governance
Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 232 mm, Gewicht: 608 g
ISBN: 978-1-3986-1027-9
Verlag: Kogan Page
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.
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
Weitere Infos & Material
Chapter - 00: Introduction - Why write a book on data ethics?; Chapter - 01: Ethics in the context of data management; Chapter - 02: Introduction to ethical concepts and frameworks; Chapter - 03: Ethical principles, standards and practice; Chapter - 04: Ethics, privacy and analytics; Chapter - 05: Ethics and data management (including AI); Chapter - 06: Developing an ethical architecture for information management; Chapter - 07: Introducing the Ethical Enterprise Information Management (E2IM) framework; Chapter - 08: Information ethics as an information quality system; Chapter - 09: Information ethics and data governance; Chapter - 10: Information ethics and risk - Tools and methods for identifying and managing ethical risk; Chapter - 11: Data ethics - the bigger picture; Chapter - 12: And in conclusion.;