Title from publisher's bibliographic system (viewed on 09 Jul 2021).

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.

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.