Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa

Domaine:

socioeconomic

Type de record:

paper
Créateur:
HilGonBabMot
Hôte:avatar
In this work, we highlight the transformative potential of Artificial Intelligence (AI), particularly Large Language Models (LLMs) and agentic AI, in the insurance sector. We consider and emphasize the unique opportunities, challenges, and potential pathways in insurance amid rapid performance improvements, increased open-source access, decreasing deployment costs, and the complexity of LLM or agentic AI frameworks. To bring it closer to home, we identify critical gaps in the African insurance market and highlight key local efforts, players, and partnership opportunities. Finally, we call upon actuaries, insurers, regulators, and tech leaders to a collaborative effort aimed at creating inclusive, sustainable, and equitable AI strategies and solutions: by and for Africans.

Visit

arxiv.org

Tags

Computational Engineering, Finance, and ScienceComputation and LanguageEmerging TechnologiesApplications

Similaires

Transforming Decision-Making with Agentic AI for Dynamic Business and Analytics Dashboards in Hydrocarbon Asset ManagementAgentic AI and Evidence-Based Decision-Making among Educational Administrators in Cross River State, NigeriaResponsible AI in Africa—Challenges and OpportunitiesKey informant perspectives on the challenges and opportunities for using routine health data for decision-making in SenegalChallenges and Opportunities of AI-Assisted Diagnostics for Malaria and Tuberculosis in AfricaAI in Publishing: Challenges and Opportunities

Transforming Decision-Making with Agentic AI for Dynamic Business and Analytics Dashboards in Hydrocarbon Asset Management

Abstract The conventional dashboard paradigm in upstream oil and gas relies on s

Agentic AI and Evidence-Based Decision-Making among Educational Administrators in Cross River State, Nigeria

This study investigated the use of Agen

Responsible AI in Africa—Challenges and Opportunities

Abstract This chapter provides an analysis into the factors that impact the effective adoption and

Key informant perspectives on the challenges and opportunities for using routine health data for decision-making in Senegal

Abstract Background Increasing the performance of routine health information systems (RHIS) is an

Challenges and Opportunities of AI-Assisted Diagnostics for Malaria and Tuberculosis in Africa

Malaria and tuberculosis remain among the most serious infectious diseases in Africa. Sub-Saharan Af

AI in Publishing: Challenges and Opportunities

Presentation by Valda Vinson at the SciELO South Africa - SciELO 25 Years Seminar: Artificial intell