Governing Autonomous Intelligence in International Financial Systems
Keywords:
Autonomous Machine Learning, Cross Border Financial Transactions, Real Time Decision Systems, Funds Flow Automation, Transaction Settlement Networks, Global Payment Infrastructure, Know Your Customer Compliance, Anti Money Laundering Controls, Sanctions Screening Systems, Risk Based Role Allocation, Cross Jurisdiction Data Sharing, Data Regulatory Interoperability, Financial Crime Prevention, Autonomous Compliance Systems, Jurisdictional Risk Management, Real Time Information Exchange, Data Residency Constraints, Regulatory Technology Integration, Global Financial Governance, Machine Driven Risk Assessment.Abstract
Autonomous machine learning — defined here as a system's use of its own outputs to drive further decision-making without human intervention — has had a profound impact on global finance. This influence is evident in cross-border flows of funds for transactional business in products and services, financial exchanges, and financial assets. As these flows grow more automated, a clearer separation has emerged between the actual originator of a transaction and the funds-handling entities in other jurisdictions that provide settlement or routing services. This separation introduces risk and compliance challenges, since funds-handling entities must deploy systems capable of enforcing Know Your Customer, Anti-Money Laundering, sanctions, and other applicable regulatory requirements across borders.
Translating cross-border data-sharing needs into practice, however, remains difficult. For the data-sharing requirements that arise in cross-border financial interactions involving autonomous machine learning, a risk-based allocation of roles has motivated efforts to develop data-sharing agreements tailored to specific jurisdictions. The underlying principle is to route transactions through jurisdictions with lower-risk data-regulatory profiles, enabling near real-time information flow while minimizing the time sensitive data must reside in jurisdictions with more stringent regulatory requirements.
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