REVIEWING THE RISKS OF AI TECHNICAL DEBT (TD) IN THE FINANCIAL SERVICES INDUSTRIES (FSIS) - Archive ouverte HAL
Pré-Publication, Document De Travail (Preprint/Prepublication) Année : 2024

REVIEWING THE RISKS OF AI TECHNICAL DEBT (TD) IN THE FINANCIAL SERVICES INDUSTRIES (FSIS)

Vinay Kumar Sankarapu
  • Fonction : Auteur
  • PersonId : 1413393

Résumé

AI is increasingly becoming an important catalyst for improving the efficiency and efficacy of the financial services industry. For this paper, we consider institutions that provide banking services, insurance services, payment services, and investment services as part of the financial services industry (FSI). The recent success of generative AI and predictive AI in the last few years generated enormous interest in deploying AI across FSI use cases. However, because it is highly regulated and lacks open-source datasets, there are not enough published resources on the production challenges, failures, and reasons behind them. Because of this, there is a growing technical debt regarding how AI is deployed in the FSIs. In addition to this, due to a lack of interdisciplinary skills in AI and the associated business risks, traditional risk managers and auditors struggle to create risk frameworks for AI deployments. In this paper, we will review the AI technical debt (TD) in FSIs and do an empirical study about the risks involved.

Fichier principal
Vignette du fichier
Vinay Kumar - Reviewing the risks of AI Technical Debt in FSIs.pdf (182.61 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04691168 , version 1 (07-09-2024)

Licence

Identifiants

  • HAL Id : hal-04691168 , version 1

Citer

Vinay Kumar Sankarapu. REVIEWING THE RISKS OF AI TECHNICAL DEBT (TD) IN THE FINANCIAL SERVICES INDUSTRIES (FSIS). 2024. ⟨hal-04691168⟩
9 Consultations
6 Téléchargements

Partager

More