TY  - BOOK
AU  - Hasselbalch,Gry
TI  - Data ethics of power: a human approach in the big data and AI era 
SN  - 9781802203103
AV  - QA76.9.B45 H395 2021
U1  - 005.7 23
PY  - 2021///
CY  - Cheltenham, UK
PB  - Edward Elgar Publishing
KW  - Big data
KW  - Moral and ethical aspects
KW  - Artificial intelligence
KW  - Power (Social sciences)
KW  - fast
N1  - Includes bibliographical references and index; Introduction to data ethics of power -- Big data socio technical infrastructures (BDSTIs) -- Sociotechnical change and data ethical governance -- Artificial Intelligence socio-technical infrastructures (AISTIs) -- Data interests and data cultures -- What is data ethics? -- Conclusion to data ethics of power
N2  - Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. Gry Hasselbalch expertly draws on nearly two decades of experience in the field, and key literature, to advance a better understanding of the challenges faced by big data and AI developers. She provides an innovative ethical framework for studying and governing Big-Data and Artificial Intelligence. Offering both a historical account and a theoretical analysis of power dynamics and their ethical implications, as well as incisive ideas to guide future research and governance practices, the book makes a significant contribution to the establishment of an emerging data and AI ethics discipline. This timely book is a must-read for scholars studying AI, data, and technology ethics. Policymakers in the regulatory, governance, public administration, and management sectors will find the practical proposals for a human-centric approach to big data and AI to be a valuable resource for revising and developing future policies. --
ER  -