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Synergy between Sustainable Finance and Artificial Intelligence: A Promising Future

Synergie entre la finance Durable et l'intelligence Artificielle: un Avenir Prometteur

Marouane Nakhcha (), Islam Allaki, Mamdouh Tlaty and Kharbouch Omar
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Marouane Nakhcha: UIT - Université Ibn Tofaïl

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Abstract: This article explores the convergence between sustainable finance and artificial intelligence (AI) in the context of global economic change. By examining the principles and objectives of sustainable finance, as well as current trends, the article highlights the emergence of this discipline in response to environmental and social challenges. Simultaneously, it explores the increasingly central role of AI in the financial sector, highlighting its impact on risk management and portfolio optimization, as illustrated by experts such as Erik Brynjolfsson. The central issue lies in how to maximize the economic benefits of the synergy between sustainable finance and AI, while mitigating risks and ensuring ethical integration. By adopting a theoretical methodology, based on a thorough literature review, the article aims to provide a sound conceptual framework for exploring this promising convergence. Results and discussions will delve deeper into the economic implications, highlighting the opportunities and challenges of this innovative collaboration.

Keywords: Sustainable finance -Artificial intelligence - Economic synergy- Risk management -Financial sustainability; IJAME; Finance durable -Intelligence artificielle -Synergie économique -Gestion des risques -Durabilité financière Sustainable finance -Artificial intelligence -Economic synergy-Risk management (search for similar items in EconPapers)
Date: 2024-04-01
Note: View the original document on HAL open archive server: https://hal.science/hal-04672195v1
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Published in International journal of applied management and economics, 2024, 02 (07), pp.104-117. ⟨10.5281/zenodo.11102334⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04672195

DOI: 10.5281/zenodo.11102334

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