Relevant bibliographies by topics / Artificial Intelligence (AI) in Banking

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial Intelligence (AI) in Banking'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Artificial Intelligence (AI) in Banking"

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Mucsková, Monika. "Transforming Banking with Artificial Intelligence." Trends Economics and Management 18, no. 42 (2024): 21–37. http://dx.doi.org/10.13164/trends.2024.42.21.

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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 departmen
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Khatuna Shalamberidze, Khatuna Shalamberidze. "Relationships and Trends Between Artificial Intelligence (AI) and the Banking Sector." Economics 107, no. 3-5 (2025): 42–46. https://doi.org/10.36962/ecs107/3-5/2025-42.

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“Artificial Intelligence (AI) and Banking Sector: Relations and Trends” discusses the relationship between Artificial Intelligence (AI) and the financial sector transforming the entire industry. AI algorithms automate financial operations, reducing human error and simplifying processes. The study focuses on the application of artificial intelligence in the banking sector. It examines fascinating topics such as: how AI is involved in financial education and research, how AI improves the process of making financial decisions, how the banking sector currently uses AI and its outcomes, and what fu
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Narang, Ashima, Priyanka Vashisht, and Shalini Bhaskar Bajaj. "Artificial Intelligence in Banking and Finance." International Journal of Innovative Research in Computer Science and Technology 12, no. 2 (2024): 130–34. http://dx.doi.org/10.55524/ijircst.2024.12.2.23.

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Artificial intelligence (AI) has revolutionized the banking and financial industry by improving client relations, precision, and operational efficiency. This paper explores the use of artificial intelligence (AI) in banking and finance, including topics like credit scoring, fraud detection, investment management, and customer service. This research aims to identify the benefits and difficulties associated with the integration of AI in the financial sector by a comprehensive analysis of the body of existing literature. The results highlight how AI technologies have significantly improved decisi
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Sumaiya, Fathima. "Artificial Intelligence in Banking Sector." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 59–62. https://doi.org/10.5281/zenodo.1403583.

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Conversion of   data  in digital format through technology is digitalization .as the banks have embraced digitalization it has resulted in reduction of human errors and has provided convenience to customers reducing time, people have round the clock access to online banking Technology has removed much of the face to face bank-customer interactions like fingerprint readers, card readers and new and emerging and financial technologies ensuring privacy and minimizing or reducing fraud concerns with increasingly innovative technologies.  Banking institutions
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Enshov, Vladimir V., Ildar M. Safarov, and Leysan M. Sungatullina. "TECHNOLOGY OF ARTIFICIAL INTELLIGENCE IN BANKING." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/8, no. 144 (2024): 88–94. http://dx.doi.org/10.36871/ek.up.p.r.2024.03.08.014.

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The article examines the prospects for the use of artificial intelligence (AI) in the banking sector, taking into account current trends and technological advances. The review presents the main directions of using AI in the banking sector, including automation of processes, personalization of services, fraud prevention, improvement of customer service and forecasting market trends. Current problems and challenges are considered, as well as prospects for further development and integration of AI into banking.
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Neelima, B. Nimbhorkar. "Transforming Banking Sector through Artificial Intelligence." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 215–18. https://doi.org/10.5281/zenodo.1403619.

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Today, majority banks are eyeing towards Artificial Intelligence (AI) technology to help them use huge volume of data to increase customer engagement, to improve compliance  and  operational  efficiency.  Increased  use  of  Artificial  Intelligence  in banking sector is showing a signs of interest and adoption as a result, all most all of the Indian banking sectors have started AI adoption. Its application in data analysis and customer service is creating an opportunity to become more personalized towards its customers
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P, S. Charan Kumar. "Artificial Intelligence in Indian Banking Sector." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 248–50. https://doi.org/10.5281/zenodo.1403633.

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In India Artificial Intelligence is not new this concept is from many years but the new  improvement  in  AI  Adaptation  as  increasing  in  technology.  The  technology itself is getting better day by day with various applications. As everyone thinks about CHAT-BOTS only as AI service but many other adaptations are there as it related to services to customer. SBI has a major role in adaptation of artificial intelligence as it is the largest bank in India (As per the Accenture Banking Technology vision 2018 Report
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Baltgailis, Jurijs, Anastasiia Simakhova, and Stanislavs Buka. "AI IN BANKING: SOCIO-ECONOMIC ASPECTS." Baltic Journal of Economic Studies 10, no. 3 (2024): 26–35. http://dx.doi.org/10.30525/2256-0742/2024-10-3-26-35.

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Artificial intelligence is revolutionising the banking sector, offering a range of benefits such as enhanced customer support, improved fraud detection and more informed decision-making. Banks are using AI technologies to optimise their operations, improve customer service, and proactively manage risks, leading to increased efficiency and productivity. The article is devoted to the issue of studying the use of artificial intelligence in the banking sector. The purpose of the article is to explore the potential of artificial intelligence for the banking sector. The article uses methods of data
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Ahmed, Faraz. "ETHICAL ASPECTS OF ARTIFICIAL INTELLIGENCE IN BANKING." Journal of Research in Economics and Finance Management 1, no. 2 (2022): 55–63. http://dx.doi.org/10.56596/jrefm.v1i2.7.

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The following study aim to analyse the ethical concerns related to the use of Artificial Intelligence in banking. By using AI, many ethical issues were identified which includes the wrong credit scoring, sharing of wrong information, miss selling, and unauthorised trading in the banking. The AI applications and methods significantly changed and enhanced the entire financial and non-financial framework of the banking sectors but there is always a risk of the data losses which are associated with the artificial intelligence (AI). Due to the fact, that the new technologies can exploit threats in
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Varshney, Prateeksha, and Prof Anoop Kumar. "Impact of Artificial Intelligence on Cyber Security in Banking." Journal Global Value XVI, SI (2025): 288–91. https://doi.org/10.31995/jgv.2025.v16isi7.037.

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Artificial Intelligence (AI) is transforming the banking sector by optimizing efficiency, strengthening security, and enhancing customer experience. This study explores key AI applications in banking, including fraud detection, risk management, chatbots, credit scoring, and personalized financial services. It also examines the challenges associated with AI adoption, such as data privacy concerns, regulatory compliance, and system integration. Furthermore, the study discusses the future potential of AI in banking, highlighting its role in predictive analytics, autonomous banking, and block chai
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Dissertations / Theses on the topic "Artificial Intelligence (AI) in Banking"

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Åberg, Emil, and Yeshodeep Khati. "Artificial Intelligence in Customer Service : A Study on Customers' Perceptions regarding IVR Services in the Banking Industry." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75300.

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Title: Artificial Intelligence in Customer Interactions: A Study on Customers' Perceptionsregarding IVR Services in the Banking Industry Purpose: The purpose of this paper was to explore consumer perspectives on automated IVRcustomer services. Design/methodology/approach: This research paper was conducted qualitatively, where theresearchers developed a framework and a suggested model based on existing research andcollected primary data from eight interviews with open-ended questions. The collected datawas coded so that the researchers could spot patterns in the responses which were thendiscuss
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Bergström, Stacey Isabel, Philip Svenningsson, and Anton Thoresson. "The Era of Artificial Intelligence in Swedish Banking : Exploring Customer Attitudes Towards AI as a Substitute to Brick and Mortar Offices." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39859.

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Background: The wave of Artificial Intelligence (AI) is marching on, replacing jobs and traditional services, and is predicted to be one of the biggest marketing trends in the close future. Four of the major Swedish banks have started to implement AI as a customer service channel. Simultaneously, the Swedish banking industry is experiencing an all-time low in customer satisfaction, where one of the main reasons is the diminishing number of local branches. Purpose: The purpose of this thesis is to explore the attitudes that customers have towards AI in customer service, as a substitute to local
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Karlsson, Marcus. "Developing services based on Artificial Intelligence." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-73090.

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This thesis explores the development process of services based on artificial intelligence (AI) technology within an industrial setting. There has been a renewed interest in the technology and leading technology companies as well as many start-ups has integrated it into their market offerings. The technology´s general application potential for enhancing products and services along with the task automation possibility for improved operational excellence makes it a valuable asset for companies. However, the implementation rate of AI services is still low for many industrial actors. The research i
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Kim, Jee Won. "How speciesism affects artificial intelligence (AI) adoption intent." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/228673/1/Jee%20Won_Kim_Thesis.pdf.

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As there have been concerns about the excessive advancement of artificial intelligence (AI) surpassing humans, exploring reactions to AI as challenging human superiority is meaningful. By examining how the hierarchical and discriminative views on animals (speciesism) affects the views on non-living AI, this thesis has significant and novel contributions to AI adoption literature and AI product marketing.
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Fatima, Samar. "Mapping artificial intelligence affordances for the public sector." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235926/1/Samar%2BFatime%2BThesis.pdf.

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This thesis explores the affordances of artificial intelligence (AI) for the public sector. The thesis consists of three studies that answer what, why and how questions of AI affordance actualization in public sector using a combination of primary and secondary data sources. In this thesis, the affordance theory lens is used to explore AI affordance perception and actualization for the public sector through three related studies. The perception of AI affordance is investigated in the first two studies. The third study designed and evaluated artefact for public agencies to actualize AI affordan
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Malmborn, Albin, and Linus Sjöberg. "Implementing Artificial intelligence." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tol
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Edlund, Mattias. "Artificial Intelligence in Games : Faking Human Behavior." Thesis, Uppsala universitet, Institutionen för speldesign, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-258222.

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This paper examines the possibilities of faking human behavior with artificial intelligence in computer games, by using efficient methods that save valuable development time and also creates a more rich experience for the players of a game. The specific implementation of artificial intelligence created and discussed is a neural network controlling a finite-state machine. The objective was to mimic human behavior rather than simulating true intelligence. A 2D shooter game is developed and used for experiments performed with human and artificial intelligence controlled players. The game sessions
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Khan, Laiq. "Hybrid AI paradigms applied to power system damping controls." Thesis, University of Strathclyde, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273412.

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Svedberg, Peter O. S. "Steps towards an empirically responsible AI : a methodological and theoretical framework." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-246.

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<p>Initially we pursue a minimal model of a cognitive system. This in turn form the basis for the development of amethodological and theoretical framework. Two methodological requirements of the model are that explanation be from the perspective of the phenomena, and that we have structural determination. The minimal model is derived from the explanatory side of a biologically based cognitive science. Fransisco Varela is our principal source for this part. The model defines the relationship between a formally defined autonomous system and an environment, in such a way as to generate the world
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Rafiq, M. Y. "Artificial intelligence techniques for the structural design of buildings." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382446.

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Books on the topic "Artificial Intelligence (AI) in Banking"

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Lau, Theodora. Banking on (Artificial) Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81647-5.

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Alareeni, Bahaaeddin A. M., and Islam Elgedawy, eds. Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3.

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Winston, Patrick Henry. Artificial intelligence. 3rd ed. Addison-Wesley, 1993.

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Long, Guodong, Xinghuo Yu, and Sen Wang, eds. AI 2021: Advances in Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97546-3.

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Nicholson, Ann, and Xiaodong Li, eds. AI 2009: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10439-8.

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Peng, Wei, Damminda Alahakoon, and Xiaodong Li, eds. AI 2017: Advances in Artificial Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63004-5.

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Orgun, Mehmet A., and John Thornton, eds. AI 2007: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76928-6.

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Wobcke, Wayne, and Mengjie Zhang, eds. AI 2008: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89378-3.

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Thielscher, Michael, and Dongmo Zhang, eds. AI 2012: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35101-3.

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McKay, Bob, and John Slaney, eds. AI 2002: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36187-1.

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Book chapters on the topic "Artificial Intelligence (AI) in Banking"

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Lau, Theodora. "The Rise of AI and Generative AI." In Banking on (Artificial) Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81647-5_2.

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Lau, Theodora. "Trustworthy and Human-Centered AI." In Banking on (Artificial) Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81647-5_10.

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Mutambara, Arthur G. O. "Applications of AI in Banking, Finance, and Investment." In Artificial Intelligence. CRC Press, 2025. https://doi.org/10.1201/9781003511014-11.

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Lau, Theodora. "The Key Pillars of Responsible AI." In Banking on (Artificial) Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81647-5_3.

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Lau, Theodora. "Size Matters When Adopting and Scaling AI." In Banking on (Artificial) Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81647-5_4.

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Mansour, Maan Hussein, and Sayeeduzzafar Qazi. "The Role of Digital Leadership in Achieving Organizational Excellence in Jordan’s Banking Sector." In Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3_5.

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Ismail, AbdelRahman, Mohammad Sami Ali, Kayed Alattar, Muneer Hasan, and Farah Durrani. "The Role of Artificial Intelligence Techniques in the Digital Transformation of Jordanian Banking System." In Artificial Intelligence (AI) and Finance. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39158-3_7.

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Dasgupta, Debanjana. "Impact of AI and RPA in Banking." In Confluence of Artificial Intelligence and Robotic Process Automation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8296-5_3.

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Sarea, Adel, Mustafa Raza Rabbani, Md Shabbir Alam, and Mohammad Atif. "Artificial intelligence (AI) applications in Islamic finance and banking sector." In Artificial Intelligence and Islamic Finance. Routledge, 2021. http://dx.doi.org/10.4324/9781003171638-8.

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Kaixiang, Vincent Wang, Easwaramoorthy Rangaswamy, Nishad Nawaz, and Gemini V. Joy. "Banking Customers Perception of Digital Banking Efficiency and Digital Transformation Programme Adopted by Banks." In Artificial Intelligence (AI) and Customer Social Responsibility (CSR). Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50939-1_48.

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Conference papers on the topic "Artificial Intelligence (AI) in Banking"

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Gatt, Lucilla, Ilaria Amelia Caggiano, Maria Cristina Gaeta, et al. "Legal Design Through AI in Banking Contracts." In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE, 2024. https://doi.org/10.1109/metroxraine62247.2024.10796406.

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Reddy, Janamolla Kavitha, Waheeduddin Khadri Syed, Abubakar Mohammed, and K. Suganyadevi. "Blockchain Technology for Secure Transactions in Banking: A Research Perspective." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947903.

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Souran, Malvika, and Ravindra Singh Shah. "Transforming Customer Service in Mobile Banking: The Role of AI-Powered Chatbot." In 2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC). IEEE, 2025. https://doi.org/10.1109/airc64931.2025.11077483.

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Mohammed, Abubakar, Waheeduddin Khadri Syed, Janamolla Kavitha Reddy, Nasmin Jiwani, and K. Suganyadevi. "Machine Learning Approaches to Fraud Detection in Banking Systems: A Technical Analysis." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947840.

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Rani, Nisha, TILAK SETHI, and PARDEEP GUPTA. "Impact of Occupation of Banking Customers on Artificial Intelligence-driven Financial Assistant Adoption Factors and Behavioural Intention." In 2025 First Global Conference on AI Research and Emerging Developments. Ganitara Research Foundation, 2025. https://doi.org/10.63169/gcared2025.p26.

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Chourasiya, Kriti, and S. Veenadhari. "Design and Development of an Efficient System for the Detection of Fraudulent in the Banking Industry." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947802.

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Jee, Kishan, Matloob Hasan, Nitin Arvind Shelke, P. Naresh Kumar, Satish Chandra Tiwari, and Shivangi Saxena. "AI Strategies for Transforming the Banking Industry Through Enhanced Fraud Detection, Credit Crisis Management and Risk Mitigation." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947833.

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S, Vinoth, Gopalakrishnan Chinnasamy, Preetha Chandran, Santosh Rupa Jaladi, and T. Jayashree. "Predictive Analytics and the Role of AI-Powered Robo-Advisers in Modern Banking Opportunities and Challenges." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011813.

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Bhimavarapu, Anitha, Deepthi Thiyyagura, Ravi Sankar Pasupuleti, and P. Venkaiah Babu. "Artificial Intelligence in the Pocket: Factors Influencing Generation Z's Intention to Use AI-Powered Mobile Banking Applications." In 2024 First International Conference on Data, Computation and Communication (ICDCC). IEEE, 2024. https://doi.org/10.1109/icdcc62744.2024.10961558.

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Sujanto, Sarah Andien, Justin Filbert Surya, Justin Ramaputra, and Anderes Gui. "User Satisfaction in Digital Banking Through Artificial Intelligence." In 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). IEEE, 2024. https://doi.org/10.1109/icicyta64807.2024.10913293.

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Reports on the topic "Artificial Intelligence (AI) in Banking"

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Bhatnagar, Ansh, and Devyani Gajjar. Policy implications of artificial intelligence (AI). Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/pn708.

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Latorre, Lucia, Valentín Muro, Eduardo Rego, Mariana Gutierrez, Ignacio Cerrato, and Jose Daniel Zarate. Tech Report Artificial Intelligence. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013015.

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This report provides a comprehensive overview of AI, from its fundamentals to its practical applications, covering topics such as its definition, evolution, and implementation. It also delves into various applications, such as machine learning, natural language processing, computer vision, and generative AI, providing specific examples and use cases across sectors like healthcare, logistics, environment, and security.
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Blanchard, Alexander, and Laura Bruun. Bias in Military Artificial Intelligence. Stockholm International Peace Research Institute, 2024. https://doi.org/10.55163/cjft9557.

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To support states involved in the policy debate on military artificial intelligence (AI), this background paper provides a deeper examination of the issue of bias in military AI. Three insights arise. First, policymakers could usefully develop an account of bias in military AI that captures shared concern around unfairness. If so, ‘bias in military AI’ might be taken to refer to the systemically skewed performance of a military AI system that leads to unjustifiably different behaviours—which may perpetuate or exacerbate harmful or discriminatory outcomes—depending on such social characteristic
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Rinuado, Christina, William Leonard, Christopher Morey, Theresa Coumbe, Jaylen Hopson, and Robert Hilborn. Artificial intelligence (AI)–enabled wargaming agent training. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48419.

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Fiscal Year 2021 (FY21) work from the Engineer Research and Development Center Institute for Systems Engineering Research lever-aged deep reinforcement learning to develop intelligent systems (red team agents) capable of exhibiting credible behavior within a military course of action wargaming maritime framework infrastructure. Building from the FY21 research, this research effort sought to explore options to improve upon the wargaming framework infrastructure and to investigate opportunities to improve artificial intelligence (AI) agent behavior. Wargaming framework infrastructure enhancement
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Arnold, Zachary, and Ngor Luong. China’s Artificial Intelligence Industry Alliance. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200094.

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As part of its strategy to achieve global leadership in AI, the Chinese government brings together local governments, academic institutions, and companies to establish collaboration platforms. This data brief examines the role of China’s Artificial Intelligence Industry Alliance in advancing its AI strategy, and the key players in the Chinese AI industry.
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Brione, Patrick, and Devyani Gajjar. Artificial intelligence: ethics, governance and regulation. Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/hs51.

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Diaz-Herrera, Jorge L. Artificial Intelligence (AI) and Ada: Integrating AI with Mainstream Software Engineering. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286093.

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Haddad, Ibrahim. Artificial Intelligence and Data in Open Source. The Linux Foundation, 2022. https://doi.org/10.70828/zaow8899.

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Artificial intelligence (AI) is no different from any other technology domain where OSS dominates. As with other industries, OSS adoption in the AI field has increased the use of open source in products and services, contributions to existing projects, the creation of projects fostering collaboration, and the development of new technologies. Artificial Intelligence and Data in Open Source reviews critical challenges in the open source AI ecosystem, discusses common characteristics across AI and data projects, and presents the role of the LF AI &amp; Data Foundation in empowering innovators and
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Vilalta, Ricardo. A Gentle Introduction to Artificial Intelligence. Instats Inc., 2023. http://dx.doi.org/10.61700/ws1767apt7i86469.

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This workshop offers a comprehensive overview of AI, hands-on applications, and its relevance in academic research, with discussions on ethical considerations and future trends in AI. The workshop is designed for PhD students, professors, and professional researchers. An official Instats certificate of completion and 2 ECTS equivalent points are provided at the conclusion.
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Bhatnagar, Ansh, and Devyani Gajjar. How is artificial intelligence affecting society? Parliamentary Office of Science and Technology, 2024. http://dx.doi.org/10.58248/rr15.

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