Buch, Englisch, 244 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 517 g
Buch, Englisch, 244 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 517 g
ISBN: 978-1-009-33432-7
Verlag: Cambridge University Press
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.
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Weitere Infos & Material
Foreword by Frank Pasquale; Introduction Monika Zalnieriute and Zofia Bednarz; 1. AI in the financial sector: policy challenges and regulatory needs Teresa Rodríguez 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.