Data-driven personalisation in markets, politics and law
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書誌事項
Data-driven personalisation in markets, politics and law
Cambridge University Press, 2021
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注記
Includes index
Summary: "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 t
収録内容
- 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
内容説明・目次
内容説明
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.
目次
- Part I. Introduction: Theoretical Perspectives
- 1. The Pixelated Person - Humanity in the Grip of Algorithmic Personalisation Uta Kohl
- 2. Personalisation and Digital Modernity: Deconstructing the Myths of the Subjunctive World Kieron O'Hara
- 3. Personalisation, Power and the Datafied Subject Marc Welsh
- 4. Personal Data and Collective Value: Data-Driven Personalisation as Network Effect Nick O'Donovan
- Part II. Themes: Personal Autonomy, Market Choices and the Presumption of Innocence
- 5. Hidden Personal Insights and Entangled in the Algorithmic Model - the Limits of the GDPR in the Personalisation Context Michele Finck
- 6. Personalisation, Markets, and Contract: The Limits of Legal Incrementalism T.T. Arvind
- 7. 'All Data is Credit Data' - Personalised Consumer Credit Score and Anti-Discrimination Law Noelia Collado-Rogriguez and Uta Kohl
- 8. Sentencing Dangerous Offenders in the Era of Predictive Technologies: New Skin, Same Old Snake? David Gurnham
- Part III. Applications: From Personalised Medicine and Pricing to Political Micro-Targeting
- 9. 'P4 Medicine' and the Purview of Health Law: The Patient or the Public? Keith Syrett
- 10. Personalised Pricing: The Demise of the Fixed Price? Joost Poort and Frederik Zuiderveen Borgesius
- 11. Data-Driven Algorithms in Criminal Justice: Predictions as Self-Fulfilling Prophecies Pamela Ugwudike
- 12. From Global Village to Smart City: Reputation, Recognition, Personalisation, and Ubiquity Daithi Mac Sithigh
- 13. Micro-Targeting in Political Campaigns: Political Promise and Democratic Risk Normann Witzleb and Moira Paterson
- Part IV. The Future of Personalisation: Algorithmic Foretelling and Its Limits
- 14. Regulating Algorithmic Assemblages: Looking Beyond Corporatist AI Ethics Andrew Charlesworth
- 15. Scepticism about Big Data's Predictive Power about Human Behaviour: Making a Case for Theory and Simplicity Konstantinos Katsikopoulos
- 16. Building Personalisation: Language and the Law Alun Gibbs
- 17. Conclusion: Balancing Data-Driven Personalisation and Law as Social Systems Jacob Eisler.
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