The Risk of Artificial Intelligence in Credit Ratings

Exploring the Efficiency, Development and Impact
de

,

Éditeur :

Palgrave Macmillan

Paru le : 2025-07-12

As the leading credit rating agencies begin to heavily invest in the adoption of artificial intelligence, historic systemic failures serve as a reminder of the effect of mis-regulation and misdiagnosis in the credit rating world. As the industry turns towards technologies that can massively enhance ...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
42,19
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos



Collection
n.c

Parution
2025-07-12

Pages
100 pages

EAN papier
9783031955426

Auteur(s) du livre


Daniel Cash is Reader in Law at Aston University and a Senior Fellow at the United Nations University Centre for Policy Research. Daniel’s research is exclusively concerned with the regulation of the credit rating industry, with a wider focus on the financial regulation of financial service providers, and the relationship between the financial sector and its impact upon society. He has authored a number of books, edited collections, and articles on the credit rating industry specifically. Nataliya Tkachenko is an AI strategy lead for sustainable finance at the AI Centre of Excellence (Lloyds Banking Group). She is also a visiting fellow at the Cambridge Centre for Finance, Technology and Regulation (University of Cambridge Judge Business School) and an Executive Director of UK Multimodal AI Network, funded by EPSRC. She obtained her PhD in Computer Science from the University of Warwick in 2019, and continues to pursue her interest in how AI transforms financial industry, what are the biggest opportunities and associated risks. She’s part of AI Assurance working groups within DRCF and IOSCO.

Caractéristiques détaillées - droits

EAN PDF
9783031955433
Prix
42,19 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
2550 Ko
EAN EPUB
9783031955433
Prix
42,19 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
891 Ko

Suggestions personnalisées