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October 20, 2025Journal of Computer Science and Technology Studies

AI-driven Automation of Business rules: Implications on both Analysis and Design Processes

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Authors

AMAbdul Hakim MohammedTATanvir Rahman AkashKZK M Zubair

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Overview

Quantitative analysis illustrates improved loan approval outcomes and risk assessment using AI methods, indicating ethical credit score models.

Key Points

  • Predictive models improved loan approval accuracy while maintaining ethical practices in credit management.
  • Strong correlations exist between loan purpose and employment stability, revealing risks in automated lending.
  • Data-driven analytical models help identify clients at risk of default, enhancing decision-making processes.
  • AI-powered analytics demonstrate a disruptive influence on contemporary finance, emphasizing fairness and accountability.

Cite This Study

Mohammed et al. (2020) studied this question.

synapsesocial.com/papers/68f5c338e2d8b12842645d97https://doi.org/10.32996/jcsts.2020.2.2.6x
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