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E-grāmata: Money, Power, and AI: Automated Banks and Automated States

Edited by (University of Sydney), Edited by (University of New South Wales, Sydney)
  • Formāts: PDF+DRM
  • Izdošanas datums: 30-Nov-2023
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9781009334280
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  • Formāts: PDF+DRM
  • Izdošanas datums: 30-Nov-2023
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9781009334280
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In this ambitious collection, Zofia Bednarz and Monika Zalnieriute bring together leading experts to shed light on how artificial intelligence (AI) and automated decision-making (ADM) create new sources of profits and power for financial firms and governments. Chapter authors—which include public and private lawyers, social scientists, and public officials working on various aspects of AI and automation across jurisdictions—identify mechanisms, motivations, and actors behind technology used by Automated Banks and Automated States, and argue for new rules, frameworks, and approaches to prevent harms that result from the increasingly common deployment of AI and ADM tools. Responding to the opacity of financial firms and governments enabled by AI, Money, Power and AI advances the debate on scrutiny of power and accountability of actors who use this technology. This title is available as Open Access on Cambridge Core.

This collection sheds light on how AI and automated decision-making tools bring new sources of profits and power to financial firms and governments. Chapters offer distinct perspectives from authors of diverse backgrounds and across legal systems, arguing that new rules, frameworks, and approaches are needed to prevent harms of automation.

Papildus informācija

Demonstrates how AI and automated decision-making tools bring new sources of profits and power to financial firms and governments.
Foreword by Frank Pasquale; Introduction Monika Zalnieriute and Zofia
Bednarz;
1. AI in the financial sector: policy challenges and regulatory
needs Teresa Rodrķguez de las Heras Ballell;
2. Demystifying consumer-facing
fintech: transparency and accountability in automated financial advice tools
Jeannie Paterson, Tim Miller and Henrietta Lyons;
3. Leveraging AI to
mitigate money laundering risks in the banking system Doron Goldbarsht;
4. AI
opacity in financial industry and how to break it Zofia Bednarz and Linda
Przhedetsky;
5. The automated welfare state: challenges for socio-economic
rights of the marginalised Terry Carney;
6. A new 'machinery of government'?
the automation of administrative decision-making Paul Miller;
7. The tale of
two automated states: why a one-size-fits-all approach to administrative law
reform to accommodate AI will fail José Miguel Bello y Villarino;
8. The
islamophobic consensus: datafying racism in catalonia Aitor Jiménez and
Ainhoa Nadia Douhaibi;
9. Law and empathy in the automated state Cary
Coglianese;
10. Sorting teachers out: automated performance scoring and the
limit of algorithmic governance in the education sector Ching-Fu Lin;
11.
Supervising automated decisions Tatiana Cutts;
12. Against procedural
fetishism in the automated state Monika Zalnieriute.
Zofia Bednarz is a Lecturer at the University of Sydney Law School and researches the implications of new technologies for commercial and corporate law as an Associate Investigator in the ARC Centre of Excellence for Automated Decision-Making and Society. Monika Zalnieriute is a Senior Lecturer and Australian Research Council DECRA Fellow at UNSW Sydney. Her research on law and technology has been widely drawn upon by scholars and organizations such as the Council of Europe, the World Bank, the European Parliament and WHO.