Elsevier eBooks, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
IMF Working Paper, Год журнала: 2024, Номер 2024(065), С. 1 - 1
Опубликована: Март 1, 2024
We review the literature on effects of Artificial Intelligence (AI) adoption and ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, financial stability. find that: (i) theoretical agrees that AI will affect most occupations transform but empirical findings are inconclusive employment productivity effects; (ii) has focused primarily topics not explored by academic literature; (iii) across countries, regulations differ widely in scope approaches face difficult trade-offs.
Язык: Английский
Процитировано
20
Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 87 - 110
Опубликована: Янв. 14, 2025
The financial system is rapidly expanding and becoming more interconnected in the digital age. It moving at an ever-increasing speed growing complexity, presenting myriad challenges. widespread use of artificial intelligence (AI) driving significant improvements efficiency services. However, examining whether this progress comes expense stability or creative destruction crucial. chapter delves into conceptual challenges using AI identifies transmission channels that can lead to systemic risks. A simple model presented tested example high-frequency trading (HFT) quantify risk. stochastic nonlinear nature risks makes routine application conventional risk assessment methods challenging. focus on underscores urgency importance comprehensively understanding risks, particularly face system's complexity.
Язык: Английский
Процитировано
0
ITM Web of Conferences, Год журнала: 2025, Номер 76, С. 01007 - 01007
Опубликована: Янв. 1, 2025
Financial industry is a prime target for Artificial Intelligence (AI) driven solutions, opening up avenues of predictive. Nevertheless, hurdles around model transparency, compatibility with legacy financial systems, and the high bar computational resources persist as major pieces resistance. Therefore, this research focused on establishing new AI-based models to tackle problem in predictive models, risk management strategies trading domain. Through efficiency enhancement, explainable AI methodologies application, along Path-independent adaptation diverse asset classes, aims formulate richer, ambient, inclusive environments benefit sustainability. Moreover, study examines hybrid that integrate private public blockchains enhance transaction throughput, scalability, data privacy. The idea make systems more stable, accessible, effective while minimizing environmental impact via energy-efficient consensus mechanisms.
Язык: Английский
Процитировано
0
Future Business Journal, Год журнала: 2025, Номер 11(1)
Опубликована: Апрель 16, 2025
Abstract Artificial intelligence (AI) has profoundly impacted banking services, particularly in the context of rapid technological advancements. The success sector depends on establishing customers’ intention to adopt AI. However, research AI adoption Mongolia’s remains limited, underscoring need understand consumer behavior and key factors. This paper seeks evaluate attitudes toward adopting services. To achieve this goal, we surveyed perceptions customers from selected banks, yielding 508 participants 487 valid responses for subsequent analysis. proposed model was assessed using a partial least squares approach technical acceptance model. Our findings indicate that banks involved study have already integrated various products. results demonstrate perceived usefulness, trust, significantly enhance AI-enabled Additionally, examines mediating effect banking, identifying ATT as variable between PEOU PU with INT. These provide practical insights stakeholders seeking AI-powered customer service while contributing literature perspective.
Язык: Английский
Процитировано
0
Journal of Financial Economic Policy, Год журнала: 2025, Номер unknown
Опубликована: Апрель 21, 2025
Purpose The advent of artificial intelligence (AI) tools signifies a major advancement in technology, poised to significantly influence the financial system. From conceptual standpoint, AI introduces both advantages and challenges landscape. Thus, this study aims examine dynamics between system stability through several distinct approaches. Initially, authors investigate potential nonlinearities relationship assess asymmetric reactions application AI, positive negative. Design/methodology/approach Subsequently, address intra-country variations, incorporate heterogeneous effect within cross-sections by using nonlinear panel autoregressive distributed lag model, which serves as data adaptation Shin et al. (2014) framework is comparable nonstationary model. Findings findings indicate that final exhibits responses with latter displaying more pronounced reaction. results remain consistent across various proxies. Ultimately, emanating from carry significant implications for regulators. Originality/value This paper addresses gaps AI–financial literature empirically examining internationally, where existing studies are limited. While some prior research (e.g. Daud , 2022; Li, 2021; Khan 2023a) explores globally, they do not fully account heterogeneity effects. To best authors’ knowledge, first use aspects, offering comprehensive understanding AI’s impact on stability. Doing so advances empirical knowledge beyond largely theoretical, country-specific focus earlier work Darangwa, Chen Du, 2016).
Язык: Английский
Процитировано
0
Proceedings of the ... International Conference on Business Excellence, Год журнала: 2024, Номер 18(1), С. 1892 - 1901
Опубликована: Июнь 1, 2024
Abstract The paper uses qualitative research to investigate the potential of artificial intelligence in field central banking. analysis shows that monetary policy, prudential supervision and oversight payments are areas where use is most likely bring benefits. Monetary policy calibration involves working with long time series data for various parameters making necessary forecasts, an activity which neural networks may prove useful. Bank can benefit from natural language processing algorithms read documents extract relevant information. Such all required (not just those supervisor selected) return sentences contain a certain predefined expression. In payments, capabilities machine learning identify new patterns or anomalies could indicate fraud money laundering will boost efforts combat them. terms challenges associated banking, perhaps two biggest some models do not allow reasonable level explainability algorithm(s) through they arrive at result (especially bank supervision) availability. With respect latter, although issue quantity be dismissed as shortcoming given huge amounts available, quality seems more pronounced, deficiencies such measured incompletely incorrectly, scarcity regulatory barriers impede sharing difficult surpass.
Язык: Английский
Процитировано
2
Опубликована: Авг. 22, 2024
From an ‘infrastructural gaze,’ this chapter examines the penetration of artificial intelligence in capital markets as a blend continuity and change finance. The growing infrastructural dimension AI stems firstly from evolution algorithmic trading governance, secondly its rise ‘general-purpose technology’ within financial domain. text discusses consequences ‘infrastructuralisation’ AI, considering micro-macro tension typical accumulation crisis dynamics. Challenging commonly held notion stabilising force, analysis underscores connections with volatile, crisis-prone financialised It concludes by outlining potential (unpredictability, operational inefficiency, complexity, further concentration) (systemic) risks arising emergence ‘new’ infrastructure, particularly those related to biases data commodification, lack transparency underlying models, collusion, network effects. asserts that thorough understanding these hazards can be achieved adopting perspective considers macro-meso-micro inherent infrastructures.
Язык: Английский
Процитировано
1
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1
Elsevier eBooks, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
Процитировано
0