Digital Transactions in the Era of Artificial Intelligence: Ethical Challenges and Governance Frameworks

Abstract

The rapid expansion of digital payment options like mobile wallets, contactless payments, real-time transfers, QR-based systems, peer-to-peer (P2P) platforms, and AI-powered payment gateways has transformed the global financial ecosystem. Artificial intelligence (AI) plays a central role in enabling these systems through fraud detection, biometric authentication, predictive risk assessment, automated credit scoring, and personalized financial services. While AI enhances transaction speed, security, and user convenience, it also raises significant ethical challenges. Concerns related to data privacy, algorithmic bias in credit and payment approvals, lack of transparency in automated decision-making, cybersecurity vulnerabilities, and unequal access to digital financial services threaten trust and financial inclusion. This paper critically examines the ethical implications of AI-driven digital payment systems and evaluates existing governance frameworks designed to regulate them. It analyses regulatory policies, compliance mechanisms, and responsible AI principles relevant to payment infrastructures. The study proposes a comprehensive governance model that integrates ethical design, human oversight, data protection standards, and accountability mechanisms to ensure secure, transparent, and inclusive digital payment ecosystems.