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This book critiques the use of algorithms to pre-empt personal choices in its profound effect on markets, democracy and the rule of law.
List of contents
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 Michèle 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 Daithí 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.
Summary
Corporations and governments use data-based algorithms to predict and control human behavior. This transforms everyday life - from online shopping and granting mortgages to the length of criminal sentences and personalised medicine. This book reviews and critiques this new socio-technological development and law as its prime facilitator.
