ETLTC-ICAIH2027 is to be hosted by the University of Aizu, Japan
The final program will be posted by 15th January 2027
Title of the Talk:
Reimagining Payments: AI-Driven Innovation for the Next Financial Frontier
Abstract:
In a world increasingly shaped by real-time expectations and digital experiences, payments are no longer a back-end function; they are the frontline of customer engagement and financial inclusion. This talk explores how artificial intelligence (AI) is transforming the global payments ecosystem, from fraud prevention and transaction categorization to hyper-personalized financial services and dynamic pricing models. Drawing from 22+ years of fintech leadership, this session outlines how intelligent automation, generative AI, and machine learning are driving next-gen payment rails, ISO 20022 adoption, and CBDC integration. Real-world applications demonstrate measurable impact, whether improving AML compliance or reducing payment latency in high-volume corridors. The session concludes by highlighting ethical concerns, regulatory pressures, and future-proof AI strategies essential for financial institutions aiming to stay ahead in a rapidly evolving ecosystem.
Jindal Law School, Jindal Global University, India
Risk, Function, and Due Diligence: Deconstructing India’s Proposed AI Framework
The rapid integration of Artificial Intelligence into society underscores the urgent need for clear liability frameworks to ensure accountability and maintain public trust. Current ambiguity regarding responsibility across the complex AI value chain, spanning developers, deployers, and end-users, creates significant challenges for effective governance and grievance redressal.
This keynote analyzes the graded liability system proposed in the Ministry of Electronics and Information Technology’s ‘India AI Governance Guidelines’. This framework suggests assigning responsibility proportional to the AI system’s function, anticipated risk, and the degree of due diligence undertaken.
The discussion focuses on the prevailing issue of operational uncertainty. Without explicit legal parameters, stakeholders struggle to interpret how existing regulations, such as the IT Act, apply to autonomous systems. This lack of clarity leaves potential victims without recourse and stifles innovation through fear of ambiguous litigation. By evaluating this proportional approach, the keynote explores how establishing defined standards for transparency and auditing might replace legal gray areas with necessary predictability, ultimately assessing the framework's potential to balance harm mitigation with the responsible growth of the AI ecosystem.
Prof. Dr. Peter Ilic
University of Aizu, Japan
Speaker H-Index - 7
© ETLTC & ACM Chapter on eLearning & Technical Communication: All Rights Reserved.