Regulatory Compliance and User Trust: Balancing Innovation and Security in AI-Driven Online Payment Systems
To enhance user experience and security, integrating AI bots into online payment systems offers both potential and challenges. This study evaluates the complicated world of AI-powered online payment systems, stressing the main issues raised and innovation solutions recommended. Main challenges include maintaining the trust of users in AI, cybersecurity guidelines will implement to safeguard private financial data from growing threats and enhancing system efficiency to handle high transaction volumes while maintaining accuracy and speed. With the advancements in the technology and the usage of the Artificial intelligence usage the users are very comfortable in trusting the use of various features in doing online transactions as well. We al are aware of this these days that going to the banks for the smallest of the activity is becoming hassle but with the help of all these features the KYC can also be done online using the applications and the use of AI. The major concerns such as user's trust, cybersecurity, system efficiency and regulatory compliances are being resolved by number of approaches to solve the issues with the help of AI tools, such as predictive data used for improving user experience, NLP serving as customer service with AI capabilities, and ML algorithms for fraud identification and prevention. This investigation concerns artificial intelligence (AI) and how such policies can be implemented to optimize users' management and legal requirements adherence. It further carries out the literature review regarding the methods of analytics integration into the bot's evolution and transformations within the payment systems. The complete roadmap is given to the stakeholders how to confront the challenges of Artificial Intelligence as well as exploit its potentials to create safe, effective and simple-to-use electronic transactions. The main objective of the study is giving the opportunities, challenges, and solutions regarding usage of Artificial Intelligence in online payment processing.
Authors
- Ayushi
- Bhavna Galhotra (ORCID: https://orcid.org/0000-0002-0886-4589)
- Vidushi Dubey
Institutions
- IMS Unison University (IN)
Publication Details
- Published
- 2024-10-15
- DOI
- https://doi.org/10.1109/icses63445.2024.10763096
- Citations
- 1
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.53