This edited collection tackles subjects such as what is wrong with targeted advertising in political campaigns and are echo chambers really a matter of genuine concern? Also examined are the impact of data collection on questions of trust in society and the problem of opacity: as decision-making becomes increasingly automated so it will become harder to hold decision-makers accountable. The contributors consider potential solutions to these challenges and discuss whether an ethical compass is available or even feasible in an ever more digitised and monitored world.The editors bring together original research on the philosophy of big data and democracy from leading international authors, along with recent examples and case references (including the 2016 Brexit referendum, the Leveson Inquiry and the Edward Snowden leaks), and combine them in one authoritative volume at a time of great political turmoil.
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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).
Considering the morality of using big data in the political sphereThis edited collection tackles subjects such as what is wrong with targeted advertising in political campaigns and are echo chambers really a matter of genuine concern? Also examined are the impact of data collection on questions of trust in society and the problem of opacity: as decision-making becomes increasingly automated so it will become harder to hold decision-makers accountable. The contributors consider potential solutions to these challenges and discuss whether an ethical compass is available or even feasible in an ever more digitised and monitored world.The editors bring together original research on the philosophy of big data and democracy from leading international authors, along with recent examples and case references (including the 2016 Brexit referendum, the Leveson Inquiry and the Edward Snowden leaks), and combine them in one authoritative volume at a time of great political turmoil.Kevin Macnish is Assistant Professor in Philosophy at the University of Twente; and Visiting Research Fellow at the University of Leeds.Jai Galliott is Director of The Values in Defence & Security Technology Group, the University of New South Wales at Australian Defence Force Academy; Non-Residential Fellow with 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.Cover image: © Klaus Meinhardt / Ikon Images / akg-imagesCover design:[EUP logo]edinburghuniversitypress.comISBN 978-1-4744-6352-2Barcode
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