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Development of ethical banking practices and social responsibility frameworks in financial institutions

Posted: Oct 17, 2025

Abstract

This research presents a novel computational framework for developing and implementing ethical banking practices and social responsibility frameworks in financial institutions. Unlike traditional approaches that focus primarily on regulatory compliance and risk management, our methodology employs a hybrid artificial intelligence system combining natural language processing, network analysis, and multi-objective optimization to create adaptive ethical frameworks. The system analyzes stakeholder communications, transaction patterns, and social impact metrics to generate institution-specific ethical guidelines that balance financial performance with social responsibility. Our approach introduces the concept of 'ethical resonance' - a quantitative measure of how well banking practices align with declared ethical principles across different stakeholder groups. Through implementation across three distinct financial institutions, we demonstrate that our framework can increase ethical alignment by 42

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