
Big Data and Democracy
Edinburgh University Press
Published on 8. July 2020
Book
Hardback
256 pages
978-1-4744-6352-2 (ISBN)
Description
What's wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples - including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world.
Reviews / Votes
This text will age well as a model application of philosophy, behavioral psychology, and social theory to current events, treating big data as an evolving phenomenon ... An excellent text for a social science ethics or philosophy course focused on technology. It would also work well in a course designed around a big data or social media analysis project. Summing Up: Highly recommended. -- J. Forrest, Georgia Institute of Technology * CHOICE *More details
Language
English
Place of publication
Edinburgh
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 241 mm
Width: 166 mm
Thickness: 22 mm
Weight
542 gr
ISBN-13
978-1-4744-6352-2 (9781474463522)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Kevin Macnish | Jai Galliott
Big Data and Democracy
E-Book
06/2020
1st Edition
Edinburgh University Press
€0.00
Available for download
Persons
Kevin Macnish is visiting Research Fellow at the University of Leeds. His research is in the ethics of AI, surveillance, privacy and technology. He has published three books and numerous articles and chapters on technology ethics, including Big Data and Democracy with EUP. Formerly an analyst and manager at GCHQ, Kevin has been interviewed by BBC national television and radio and has spoken at both the House of Commons and the House of Lords in relation to his research. Kevin was a witness to the Select Committee on Science and Technology on social media and data analysis, and to the Intelligence and Select Committee. More recently, he has briefed President Biden's US Director of National Intelligence on ethics and AI, and was a member of the EU plenary developing the GPAI Code of Practice for the AI Act. Jai Galliott is Group Leader of Values in Defence & Security Technology at the Australian Defence Force Academy at the University of New South Wales; Non-Residential Fellow at the Modern War Institute at the United States Military Academy, West Point and Visiting Fellow in The Centre for Technology and Global Affairs at the University of Oxford. He is a defence analyst and expert on the ethical, legal and strategic issues associated with the employment of emerging technologies, including cyber systems, autonomous vehicles and soldier augmentation. His publications include: Ethics and the Future of Spying: Technology, National Security and Intelligence Collection (Routledge 2016); Military Robots: Mapping the Moral Landscape (Ashgate 2015); Super Soldiers: The Ethical, Legal and Social Implications (Ashgate 2015); and Commercial Space Exploration: Ethics, Policy and Governance (Ashgate 2015).
Editor
Assistant Professor in Ethics and ITUniversity of Twente
Group Leader of Values in Defence & Security TechnologyAustralian Defence Force Academy at the University of New South Wales
Content
Contributors Introduction to Big Data and Democracy by Kevin Macnish and Jai Galliott
Part I
Big Data, Consequentialism and Privacy Kieron O'Hara
Politics, Big Data, and Opacity Respect Carl Fox
A Pre-occupation with Possession: the (non-)Ownership of Personal Data Kevin Macnish and Stephanie Gauttier
Policing with Big Data: DNA matching vs Crime Prediction Tom Sorell
Part II
Dark Advertising and the Democratic Process Joe Saunders
Twitter and Electoral Bias Wulf Loh, Anne Suphan and Christopher Zirnig
Gated Communities of the Digitised Mind Thorsten Bronholt
The Network and the Demos: Big Data & the Epistemic Justifications of Democracy Dave Kinkead and David M. Douglas
Part III
The Technics of a Gnostic World: An Ontogeny of Big Data John MacWillie
Trust and Algorithmic Opacity Steve McKinlay
Opacity, Big Data, Artificial Intelligence and Machine Learning in Democratic Processes Ramon Alvarado
The Big Data Paradox and its Importance to Strategy and Military Systems Development Tim McFarland, Jai Galliott & Massimiliano Cappuccio
Part IV
Beyond the Concept of Anonymity: What is Really at Stake? Open Access - see resources tab Bjoern Lundgren
Big Data Analytics and the Accessibility of Public Inquiries Philip Garnett and Sarah M. Hughes
Developing an Ethical Compass for Big Data Harald Stelzer and Hristina Veljanova
Part I
Big Data, Consequentialism and Privacy Kieron O'Hara
Politics, Big Data, and Opacity Respect Carl Fox
A Pre-occupation with Possession: the (non-)Ownership of Personal Data Kevin Macnish and Stephanie Gauttier
Policing with Big Data: DNA matching vs Crime Prediction Tom Sorell
Part II
Dark Advertising and the Democratic Process Joe Saunders
Twitter and Electoral Bias Wulf Loh, Anne Suphan and Christopher Zirnig
Gated Communities of the Digitised Mind Thorsten Bronholt
The Network and the Demos: Big Data & the Epistemic Justifications of Democracy Dave Kinkead and David M. Douglas
Part III
The Technics of a Gnostic World: An Ontogeny of Big Data John MacWillie
Trust and Algorithmic Opacity Steve McKinlay
Opacity, Big Data, Artificial Intelligence and Machine Learning in Democratic Processes Ramon Alvarado
The Big Data Paradox and its Importance to Strategy and Military Systems Development Tim McFarland, Jai Galliott & Massimiliano Cappuccio
Part IV
Beyond the Concept of Anonymity: What is Really at Stake? Open Access - see resources tab Bjoern Lundgren
Big Data Analytics and the Accessibility of Public Inquiries Philip Garnett and Sarah M. Hughes
Developing an Ethical Compass for Big Data Harald Stelzer and Hristina Veljanova