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008			210105t20212021enka ob 001 0 eng
010			_a 2021000185
020			_z9781108813082
035			_a(OCoLC)1233023404
035			_a(OCoLC)on1233023404
035			_a(EXLNZ-01UWI_NETWORK)9914159621602121
040			_aDLC _beng _erda _cEG-NcFUE _dOCLCO _dYDX _dSFB _dCAMBR _dK6U _dUKAHL _dOCLCO _dOCLCQ _dOCLCO _dOCLCL _dEBLCP _dOCLCQ _dSXB
042			_apcc
049			_aGZMA
050	0	4	_aK212 _b.D38 2021
082	0	0	_a343.09 DDP _223
245	0	0	_aData-driven personalisation in markets, politics and law / _cedited by Uta Kohl, University of Southampton; Jacob Eisler, University of Southampton.
264		1	_aCambridge, United Kingdom ; _aNew York, NY : _bCambridge University Press, _c2021.
264		4	_c©2021
300			_axvi, 316 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
504			_aIncludes bibliographical references and index.
505	0		_aUta 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.
520			_a"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)"-- _cProvided by publisher.
588			_aDescription based on online resource; title from digital title page (viewed on July 19, 2021).
650		0	_aLaw _xStatistical methods.
650		0	_aBig data.
650		6	_aDonnées volumineuses.
650		7	_aBig data _2fast
650		7	_aLaw _xStatistical methods _2fast
700	1		_aKohl, Uta, _eeditor.
700	1		_aEisler, Jacob, _d1982- _eeditor.
776	0	8	_iPrint version: _tData-driven personalisation in markets, politics and law _dCambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021. _z9781108835695 _w(DLC) 2021000184
856	4	0	_uhttps://doi.org/10.1017/9781108891325
942			_2ddc _cBK
999			_c13232 _d13232