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Data-driven personalisation in markets, politics and law / edited by Uta Kohl, University of Southampton, Jacob Eisler, University of Southampton.

Cambridge eBooks: Frontlist 2021 Available online

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Format:
Book
Contributor:
Kohl, Uta, editor.
Eisler, Jacob, 1982- editor.
Language:
English
Subjects (All):
Law--Statistical methods.
Law.
Big data.
Physical Description:
1 online resource (xvi, 316 pages) : digital, PDF file(s)
Place of Publication:
Cambridge : Cambridge University Press, 2021.
System Details:
text file
PDF
Summary:
The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the state. Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political micro-targeting, precision medicine, and predictive policing and prison sentencing. This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices. It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law. By offering these insights, this collection on data-driven personalisation seeks to stimulate an interdisciplinary debate on one of the most pervasive, transformative, and insidious socio-technical developments of our time.
Contents:
Uta Kohl, The Pixelated person - humanity in the grip of algorithmic personalisation
Kieron O'Hara, Personalisation and digital modernity : deconstructing the myths of the subjunctive world
Marc Welsh, Personalisation, power and the datafied subject
Nick O'Donovan, Personal data and collective value : data-driven personalisation as network effect
Michèle Finck, Hidden personal insights and entangled in the algorithmic model - the limits of the GDPR in the personalisation context
TT Arvind, Personalisation, markets, and contract : the limits of legal incrementalism
Noelia Collado-Rogriguez and Uta Kohl, All data is credit data - personalised consumer credit score and anti-discrimination law
David Gurnham, Sentencing dangerous offenders in the era of predictive technologies : new skin, same old snake?
Keith Syrett, P4 medicine' and the purview of health law : the patient or the public?
Joost Poort and Frederik Zuiderveen Borgesius, Personalised pricing : the demise of the fixed price?
Pamela Ugwudike, Data-driven algorithms in criminal justice : predictions as self-fulfilling prophecies
Daithí Mac Sithigh, From global village to smart city : reputation, recognition, personalisation, and ubiquity
Normann Witzleb and Moira Paterson, Micro-targeting in political campaigns : political promise and democratic risk
Andrew Charlesworth, Regulating algorithmic assemblages : looking beyond corporatist ai ethics
Konstantinos Katsikopoulos, scepticism about big data's predictive power about human behaviour : making a case for theory and simplicity
Alun Gibbs, Building personalisation : language and the law
Jacob Eisler, Conclusion : balancing data-driven personalisation and law as social systems.
Notes:
Title from publisher's bibliographic system (viewed on 09 Jul 2021).
Other Format:
Print version:
ISBN:
9781108891325
Access Restriction:
Restricted for use by site license.

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