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Home > Religion, Philosophy & Sprituality Books > Philosophy > Topics in philosophy > Ethics and moral philosophy > Big Data and Democracy
Big Data and Democracy

Big Data and Democracy


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About the Book

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.



Table of Contents:
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 Brønholt 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 Ramón 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 Björn 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

About the Author :
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).

Review :
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.


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Product Details
  • ISBN-13: 9781474463522
  • Publisher: Edinburgh University Press
  • Publisher Imprint: Edinburgh University Press
  • Height: 234 mm
  • No of Pages: 256
  • Returnable: Y
  • Weight: 540 gr
  • ISBN-10: 1474463525
  • Publisher Date: 08 Jul 2020
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Returnable: Y
  • Width: 156 mm


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