Banking Accountability in the AI Era: The New Five Beacons Framework

A guide for global financial institutions to bridge the gap between algorithmic complexity and human oversight

BRUSSELS – At the historic Galeries Royales Saint-Hubert, JM García-Maceiras has unveiled a transformative regulatory and structural framework with the launch of his latest work: The Banking Risk of AI Explanation. The event brought together a panel of international bankers, AI engineers, and policymakers to address the most pressing challenge of the digital financial era: the opacity of automated decision-making.

Bridging the Gap Between Innovation and Regulation : Under global-reaching frameworks like DORA and the EU AI Act—which set the gold standard for international AI compliance—banks are now obligated to provide clear, meaningful explanations for automated decisions—especially those impacting citizens’ lives, such as the denial of a mortgage loan. However, as Artificial Intelligence becomes the bedrock of financial systems, managers face the mounting “Black Box” dilemma: the greater the analytical performance of ML and deep neural networks, the less comprehensible they become to humans.

The Five Beacons Structural Model : The centerpiece of the work is the Five Beacons model, a layered architecture designed to protect customers through human-in-the-loop technical validation. The model defines five specific levels of transparency: XAI-M2M (Technical), XAI-Engineer (Architectural), XAI-Supervisor (Regulatory), XAI-Corporation (Governance), and XAI-Client (Human-readable).

“Rather than treating explainability of AI as an afterthought, this model establishes a sequence of prior validations,” García-Maceiras states. “It is not about ‘deciphering’ the code, but about structuring a framework where every stakeholder—from internal governance to external supervisors and certifying engineers—shares a defined responsibility for the machine’s output. Without this collective oversight, the integrity of AI cannot be guaranteed.

Universal Scalability : While rooted in the rigorous environment of banking, the Five Beacons model is designed for seamless integration into any high-risk AI deployment—including healthcare, law enforcement, justice, human resources and critical infrastructure—ensuring full compliance where transparency is a non-negotiable requirement.

About the Author : JM García-Maceiras is an international jurist and executive whose expertise spans law, linguistics, philosophy, and business governance. He currently serves as President of the Spanish Association of Banking BPO, where he leads strategic initiatives at the intersection of financial services and technological oversight, providing a unique cross-disciplinary perspective on the future of systemic risk and regulated technology.

Bibliographic Data : The book is now available through major distribution channels. García-Maceiras, JM – The Banking Risk of AI Explanation (ISBN 978-94-038-4576-0), ADR Nº1 – Zyphrum Alchemists [EN]  

Links: 

Amazon: https://www.amazon.com/dp/9403845767  

 Google Books: https://books.google.com/books?vid=ISBN9789403845760 

BookMundo: https://shop.bookmundo.com/es-ES/book/22028171/the-banking-risk-of-ai-explanation/PB.

All proceeds will be allocated to solidarity initiatives.