Transforming Banking with Artificial Intelligence: Applications, Challenges, and Implications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0189190" target="_blank" >RIV/00216305:26510/26:0189190 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.13164/trends.2024.42.21" target="_blank" >https://doi.org/10.13164/trends.2024.42.21</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Transforming Banking with Artificial Intelligence: Applications, Challenges, and Implications

Popis výsledku v původním jazyce

Purpose of the article: The purpose of this article is to provide a comprehensive analysis of the role of artificial intelligence (AI) in the banking sector, focusing on its applications, challenges, and implications. By synthesizing existing research and empirical studies, the article aims to inform researchers about the transformative potential and inherent challenges of AI-driven innovation in banking. Methodology/methods: Using a systematic review approach, the relevant literature on AI integration in banking was identified from electronic databases and leading corporate research departments, ensuring a synthesis of scholarly and industry perspectives. Scientific aim: With limited academic research on AI in banking, this study aims to shed light on its applications, challenges, and implications. Findings: The integration of AI in the banking sector has significantly transformed various operational areas, including customer interactions, risk management, compliance, and operational efficiency. AI applications, such as chatbots and smart virtual assistants, have enhanced customer service by offering personalized, 24/7 support, and have demonstrated significant cost and revenue benefits. AI-driven credit scoring and fraud detection have improved risk assessment and mitigation, enabling more precise and informed decision-making. However, AI adoption faces challenges such as high computational costs, data quality issues, the “curse of recursion” where models trained on AI-generated data degrade, and the need to balance trust in AI outputs with their reliability. Additionally, ethical concerns arise regarding the fairness, bias, and transparency of the data used to train these AI systems, which can impact their reliability and trustworthiness. Furthermore, regulatory considerations play a crucial role in AI integration. While the European Union’s AI Act aims to ensure the ethical use of AI in finance, it also presents challenges related to compliance and potential over-regulation. Conclusions: In conclusion, the integration of AI in the banking sector has revolutionized customer service, risk management, compliance, and operational efficiency. However, the adoption of AI also raises concerns about data privacy, security, and the need for regulatory frameworks to ensure ethical use. As AI continues to evolve, it will be crucial for banks to balance technological innovation with responsible practices to maximize benefits and mitigate risks.

Název v anglickém jazyce

Transforming Banking with Artificial Intelligence: Applications, Challenges, and Implications

Popis výsledku anglicky

Purpose of the article: The purpose of this article is to provide a comprehensive analysis of the role of artificial intelligence (AI) in the banking sector, focusing on its applications, challenges, and implications. By synthesizing existing research and empirical studies, the article aims to inform researchers about the transformative potential and inherent challenges of AI-driven innovation in banking. Methodology/methods: Using a systematic review approach, the relevant literature on AI integration in banking was identified from electronic databases and leading corporate research departments, ensuring a synthesis of scholarly and industry perspectives. Scientific aim: With limited academic research on AI in banking, this study aims to shed light on its applications, challenges, and implications. Findings: The integration of AI in the banking sector has significantly transformed various operational areas, including customer interactions, risk management, compliance, and operational efficiency. AI applications, such as chatbots and smart virtual assistants, have enhanced customer service by offering personalized, 24/7 support, and have demonstrated significant cost and revenue benefits. AI-driven credit scoring and fraud detection have improved risk assessment and mitigation, enabling more precise and informed decision-making. However, AI adoption faces challenges such as high computational costs, data quality issues, the “curse of recursion” where models trained on AI-generated data degrade, and the need to balance trust in AI outputs with their reliability. Additionally, ethical concerns arise regarding the fairness, bias, and transparency of the data used to train these AI systems, which can impact their reliability and trustworthiness. Furthermore, regulatory considerations play a crucial role in AI integration. While the European Union’s AI Act aims to ensure the ethical use of AI in finance, it also presents challenges related to compliance and potential over-regulation. Conclusions: In conclusion, the integration of AI in the banking sector has revolutionized customer service, risk management, compliance, and operational efficiency. However, the adoption of AI also raises concerns about data privacy, security, and the need for regulatory frameworks to ensure ethical use. As AI continues to evolve, it will be crucial for banks to balance technological innovation with responsible practices to maximize benefits and mitigate risks.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50206 - Finance

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Trends Economics and Management

ISSN

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e-ISSN

2336-6508

Svazek periodika

18

Číslo periodika v rámci svazku

42

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

21-37

Kód UT WoS článku

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EID výsledku v databázi Scopus

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