Utilizing Leaf Venation Network Model for Ethical AI Decision-Making in Financial Technologies
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Abstract
Utilizing the efficient transport networks observed in leaf venation, we proposed a model for ethical AI decision-making in financial technologies. This 'Leaf Venation Network' model ensures transparent and fair decision pathways by structuring AI algorithms to mimic the hierarchical and distributive properties of leaf veins. In financial simulations, our model reduced bias in loan approval processes by 18% and improved decision transparency scores by 22% compared to standard AI models. Furthermore, the model's efficiency led to a 15% decrease in computational resource utilization, demonstrating that natural network architectures can inform the development of more ethical and efficient AI systems in finance.
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