Articles liés à Algorithmic Credit Scoring: Implementing AI Governance...
Algorithmic Credit Scoring: Implementing AI Governance and Regulatory Auditing in Underwriting - Couverture souple
Synopsis
Reactive Publishing
Navigate the regulatory and operational complexities of AI-driven underwriting.
As algorithmic models increasingly dictate credit decisions, the regulatory scrutiny on automated underwriting architectures has intensified. Institutions must balance the efficiency of machine learning with the strict compliance requirements of model risk management.
AI Governance in Credit Scoring provides a structured, technical framework for aligning automated lending models with rigorous regulatory standards, including SR 11-7 guidelines. Designed for risk managers, systems architects, and compliance officers, this text breaks down the mechanics of auditing complex models for fairness, stability, and explainability without sacrificing performance.
Core topics include:
Model Risk Management: Frameworks for testing, validating, and monitoring algorithmic scoring systems.
Regulatory Alignment: Translating SR 11-7 and current financial regulations into operational parameters for AI architectures.
Explainability in Underwriting: Techniques to ensure automated credit decisions remain transparent and auditable by third parties.
Governance Protocols: Establishing clear oversight and lifecycle management for financial machine learning models.
Bridge the gap between quantitative innovation and regulatory compliance to build robust, secure, and auditable credit scoring systems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Algorithmic Credit Scoring: Implementing AI Governance...
Image d'archives
Algorithmic Credit Scoring: Implementing AI Governance and Regulatory Auditing in Underwriting
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur I-9798194315352
Acheter neuf
EUR 39,50
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Algorithmic Credit Scoring
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798194315352
Acheter neuf
EUR 41,85
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Algorithmic Credit Scoring
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798194315352
Acheter neuf
EUR 37,64
Expédition à EUR 5,94
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Algorithmic Credit Scoring (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Reactive PublishingNavigate the regulatory and operational complexities of AI-driven underwriting.As algorithmic models increasingly dictate credit decisions, the regulatory scrutiny on automated underwriting architectures has intensified. Institutions must balance the efficiency of machine learning with the strict compliance requirements of model risk management.AI Governance in Credit Scoring provides a structured, technical framework for aligning automated lending models with rigorous regulatory standards, including SR 11-7 guidelines. Designed for risk managers, systems architects, and compliance officers, this text breaks down the mechanics of auditing complex models for fairness, stability, and explainability without sacrificing performance.Core topics include: Model Risk Management: Frameworks for testing, validating, and monitoring algorithmic scoring systems.Regulatory Alignment: Translating SR 11-7 and current financial regulations into operational parameters for AI architectures.Explainability in Underwriting: Techniques to ensure automated credit decisions remain transparent and auditable by third parties.Governance Protocols: Establishing clear oversight and lifecycle management for financial machine learning models.Bridge the gap between quantitative innovation and regulatory compliance to build robust, secure, and auditable credit scoring systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798194315352
Acheter neuf
EUR 42,66
Expédition à EUR 43,79
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Algorithmic Credit Scoring : Implementing AI Governance and Regulatory Auditing in Underwriting
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - Reactive PublishingNavigate the regulatory and operational complexities of AI-driven underwriting.As algorithmic models increasingly dictate credit decisions, the regulatory scrutiny on automated underwriting architectures has intensified. Institutions must balance the efficiency of machine learning with the strict compliance requirements of model risk management.AI Governance in Credit Scoring provides a structured, technical framework for aligning automated lending models with rigorous regulatory standards, including SR 11-7 guidelines. Designed for risk managers, systems architects, and compliance officers, this text breaks down the mechanics of auditing complex models for fairness, stability, and explainability without sacrificing performance.Core topics include: - Model Risk Management: Frameworks for testing, validating, and monitoring algorithmic scoring systems.- Regulatory Alignment: Translating SR 11-7 and current financial regulations into operational parameters for AI architectures.- Explainability in Underwriting: Techniques to ensure automated credit decisions remain transparent and auditable by third parties.- Governance Protocols: Establishing clear oversight and lifecycle management for financial machine learning models.Bridge the gap between quantitative innovation and regulatory compliance to build robust, secure, and auditable credit scoring systems. N° de réf. du vendeur 9798194315352
Acheter neuf
EUR 62,96
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)