Nos derniers articles

This article claims that Generative AI (GenAI) is revolutionizing actuarial science, as demonstrated in four case studies. Large Language Models enhance claims cost prediction by extracting features from unstructured text, reducing errors. Retrieval-Augmented Generation automates market comparisons by processing document data. Fine-tuned, vision-enabled LLMs excel in classifying car damage and extracting contextual details. A multi-agent system autonomously analyzes datasets and generates detailed reports. GenAI also shows promise in automating claims processing, fraud detection, and document compliance verification. Challenges include regulatory compliance, ethical concerns, and technical limitations, emphasizing the need for careful integration of GenAI in insurance workflows.

The introduction of #ai #chatgpt has stirred discussions about AI regulation. The controversy over classifying systems like ChatGPT as "high-risk" AI under #euaiact has sparked concerns. This paper explores how Large Language Models (#llms) such as ChatGPT are shaping AI policy debates and delves into potential lessons from the #gdpr for effective regulation.

This study explores the use of #ai #foundationmodels, specifically #chatgpt, in #auditing #esgreporting for #compliance with the #eu #taxonomy.

"... its ability to provide relevant #riskmitigation strategies was identified as its strongest aspect. However, the research also revealed that #chatgpt's consistency in #riskassessment and prioritization was the least effective aspect. This research serves as a foundation for future studies and developments in the field of #ai-driven #riskmanagement, advancing our theoretical understanding of the application of #aimodels like ChatGPT in #realworld #risk scenarios."

The article discusses the limitations of current #ai technologies such as #chatgpt, #largelanguagemodels, and #generativeai, and argues that we need to advance #researchanddevelopment beyond these limitations.

"In the rapidly evolving world of #ai technology, creating a robust #regulatoryframework that balances the benefits of AI #chatbots [like #chatgpt] with the prevention of their misuse is crucial."

"This paper presents an intellectual exchange with #chatgpt, … , about correlation pitfalls in #riskmanagement. … Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical goring needed to avoid certain pitfalls or completely comprehend the underlying concepts."

"We provide guidance on the types of applications for which consulting #chatgpt can be useful to enhance your knowledge about #quantitative #riskmanagement in #actuarial practice, and point out those for which ChatGPT should better not be invoked."

#ethical dilemmas and #regulatory considerations associated with #ai and #chatgpt adoption in financial analysis are ... addressed, emphasizing the need for responsible AI usage and human oversight in critical #financial judgments.

"We assess the ability of #GPT … to serve as a financial robo-advisor for the masses, by combining a financial literacy test and an advice-utilization task (the Judge-Advisor System). #davinci and #chatgpt (variants of GPT) score 58% and 67% on the #financialliteracy literacy test, respectively, compared to a baseline of 31%. However, people overestimated GPT's performance (79.3%), and in a savings dilemma, they relied heavily on advice from GPT (WOA = 0.65). Lower subjective financial knowledge increased advice-taking. We discuss the risk of overreliance on current large #languagemodels models and how their utility to laypeople may change."