Money, power, and AI : automated banks and automated states /

Money, power, and AI : automated banks and automated states

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Detalles Bibliográficos
Autor Corporativo: Cambridge University Press ()
Otros Autores: Cambridge University Press (), ()
Lenguaje:English
Publicado: Cambridge : Cambridge University Press, 2024.
Materias:
Zagadnienia prawa finansowego państw obcych
Zagadnienia prawa administracyjnego państw obcych
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Acceso en línea:Zobacz publikację w Cambridge Core (Open Access)
Descripción:
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.


Tabla de Contenidos:
  • Zalnieriute, Monika Bednarz, Zofia Introduction : AI at the Intersection of Money and Power (s. 1-5) https://doi.org/10.1017/9781009334297.002
  • Rodríguez de las Heras Ballell, Teresa AI in the Financial Sector : Policy Challenges and Regulatory Needs (s. 9-28) https://doi.org/10.1017/9781009334297.004
  • Paterson, Jeannie Miller, Tim Lyons, Henrietta Demystifying Consumer-Facing Fintech : Accountability for Automated Advice Tools (s. 29-50) https://doi.org/10.1017/9781009334297.005
  • Goldbarsht, Doron Leveraging AI to Mitigate Money Laundering Risks in the Banking System (s. 51-69) https://doi.org/10.1017/9781009334297.006
  • Bednarz, Zofia Przhedetsky, Linda AI Opacity in the Financial Industry and How to Break It (s. 70-92) https://doi.org/10.1017/9781009334297.007
  • Carney, Terry The Automated Welfare State : Challenges for Socioeconomic Rights of the Marginalised (s. 95-115) https://doi.org/10.1017/9781009334297.009
  • Miller, Paul A New ‘Machinery of Government’? : The Automation of Administrative Decision-Making (s. 116-135) https://doi.org/10.1017/9781009334297.010
  • Bello y Villarino, José-Miguel A Tale of Two Automated States : Why a One-Size-Fits-All Approach to Administrative Law Reform to Accommodate AI Will Fail (s. 136-151) https://doi.org/10.1017/9781009334297.011
  • Jiménez, Aitor Douhaibi, Ainhoa Nadia The Islamophobic Consensus : Datafying Racism in Catalonia (s. 152-170) https://doi.org/10.1017/9781009334297.012
  • Coglianese, Cary Law and Empathy in the Automated State (s. 173-188) https://doi.org/10.1017/9781009334297.014
  • Lin, Ching-Fu Sorting Teachers Out : Automated Performance Scoring and the Limit of Algorithmic Governance in the Education Sector (s. 189-204) https://doi.org/10.1017/9781009334297.015
  • Cutts, Tatiana Supervising Automated Decisions (s. 205-220) https://doi.org/10.1017/9781009334297.016
  • Zalnieriute, Monika Against Procedural Fetishism in the Automated State (s. 221-239) https://doi.org/10.1017/9781009334297.017