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

Includes bibliographical references and index.

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.

"It is almost certain that your life is awash in data-drivenpersonalisation, which gathers personal information and compares it to personal information gathered about others to provide tailored outputs and decisions. It's shifted your life in the past day, probably in the past hour, and - if you're reading this on a screen - perhaps in the past minute. It has tried to influence what you buy, what media you watch, who you vote for, how you spend your time, what you believe, who you want to be. In short, the very things that make you, you. Yet the omnipresence of data-driven personalisation does not mean it is easily perceived or controlled by those it influences. This personalisation is oftenimplemented through machine learning algorithms that are subtly embedded into day-to-day life. The most familiar type may be the humble internet advertisement, which sometimes seems to predict, rather than just echo, your latest interests and desires. But as this book shows, personalisation ranges far wider than that, shaping interactions with private and public parties, with both a predictable influence in domains of technological innovation (think Facebook and Uber) as well as surprising infiltrations into domains as old as human society itself (think politics, medicine, and law enforcement)"-- Provided by publisher.

Description based on online resource; title from digital title page (viewed on July 19, 2021).