Regulating Algorithmic Harms
This paper examines the rise of algorithmic harms from AI, such as privacy erosion and inequality, exacerbated by accountability gaps and...
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Rechercher
17 juin
Application of Natural Language Processing in Financial Risk Detection
This paper introduces Natural Language Processing (NLP) concepts, text mining, and model design principles, detailing text preprocessing...
15 avr.
Comments on the Final Trilogue Version of the AI Act
“This paper provides a comprehensive analysis of the recent EU AI Act, the regulatory framework surrounding Artificial Intelligence (AI),...
9 avr.
Applied AI for Finance and Accounting: Alternative Data and Opportunities
“… we aim to provide a summary of the evolving landscape of AI applications in finance and accounting research and project future avenues...
26 févr.
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
The report highlights Federated Learning's (FL) benefits in claims loss modeling by enabling collaboration across multiple insurance...
14 déc. 2023
Machine Learning for Asset Management
The book divides into four parts. Part I introduces machine learning in finance, tracing its history. Part II covers practical aspects...
10 nov. 2023
Machine Learning in Forecasting Motor Insurance Claims
Accurate insurance claims forecasting is vital for financial planning and risk management. This study introduces innovative variables,...
20 oct. 2023
Neural networks for insurance pricing with frequency and severity data.
The paper explores the use of machine learning, particularly deep learning techniques, in insurance pricing by modeling claim frequency...
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