Conversation to Automation in Banking Through Chatbot Using Artificial Machine Intelligence Language
Abstract
Artificial Machine Intelligence is a very complicated topic. It involves creating machines that are capable of simulating knowledge. This paper examines some of the latest AI patterns and activities and then provides alternative theory of change in some of the popular and widely accepted postulates of today. Based on basic A.I. (Artificial Intelligence) structuring and working for this, System-Chatbots are made (or chatter bots). The paper shows that A.I is ever improving. As of now there isn't enough information on A.I. however this paper provides a new concept which addresses machine intelligence and sheds light on the potential of intelligent systems. The rise of chatbots in the finance sector is the latest disruptive force that has changed the way customers interact. In the banking industry, the introduction of Artificial Intelligence has driven chatbots and changed the face of the interaction between bank and customers. The banking sector plays an important role in development into any country. It also explores the existing usability of chatbot to assess whether it can fulfill customers ever-changing needs.
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Stockdale & Mitchell finds that legal advice privilege may still apply between users and AI chatbots in some jurisdictions.
“while Stockdale & Mitchell finds that legal advice privilege may still apply between users and AI chatbots in some jurisdictions [80].”
From (A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice (2024) · cites this paper as [80]
Cites
Chatbots: Are they Really Useful?
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Chatbot for university related FAQs
Ranoliya, B. R., Raghuwanshi, N., & Singh, S. (2017) · 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2017.8126057 · Cited by 425 · see citing works
A Study of Today's A.I. through Chatbots and Rediscovery of Machine Intelligence
Khanna, A., Pandey, B., Vashishta, K., Kalia, K., Pradeepkumar, B., & Das, T. (2015) · International Journal of u- and e-Service, Science and Technology · doi:10.14257/ijunesst.2015.8.7.28 · Cited by 162 · see citing works
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An Ontology-Based Dialogue Management System for Banking and Finance Dialogue SystemsPreprint
Altinok, D. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.04838 · Cited by 27 · see citing works
Flagged first, then by citations
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Menon, D., & Shilpa, K. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20962 · Cited by 359 · see citing works
Cheong, I., Xia, K., Feng, K. J. K., Chen, Q. Z., & Zhang, A. X. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3630106.3659048 · Cited by 91 · see citing works
Customer service with AI-powered human-robot collaboration (HRC): A literature review
Leocádio, D., Guedes, L., Oliveira, J., Reis, J., & Melão, N. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.01.120 · Cited by 37 · see citing works
- Authors
- Suhel, S. F., Shukla, V. K., Vyas, S., & Mishra, V. P.
- Affiliations
- Amity University (AE)
- University of Petroleum and Energy Studies (IN)
- Venue
- 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
- Publisher
- IEEE
- Published
- 2020-06
- Pages
- 611-618
- OpenAlex
- W3089889604
- Cited by
- 132
- References
- 7
- Citations by year
- 2026: 5 · 2025: 17 · 2024: 43 · 2023: 28 · 2022: 29 · 2021: 10
- FWCI
- 6.39
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Robotic Process Automation Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- chatbots, banking automation, artificial intelligence, customer interaction, banking services, chatbot usability, customer needs
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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