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Responsible A.I.-based Credit Scoring – A Legal Framework
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  • 2024The Effect of AI-Enabled Credit Scoring on Financial Inclusion: Evidence from an Underserved Population of over One Million51 cited
  • 2022Fintechs and Institutions: A Systematic Literature Review and Future Research Agenda31 cited
  • 2022Responsible AI in automated credit scoring systems30 cited
  • 2022Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency28 cited
  • 2023Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument25 cited
  • 2025Beyond incompatibility: Trade-offs between mutually exclusive fairness criteria in machine learning and law13 cited
  • 2025Navigating AI conformity: A design framework to assess fairness, explainability, and performance12 cited
  • 2025Evaluating AI-driven credit scoring models versus traditional statistical techniques12 cited
  • 2026Performance, Fairness, and Explainability in AI-Based Credit Scoring: A Systematic Literature Review12 cited
  • 2025Toward an evolving framework for responsible AI for credit scoring in the banking industry11 cited
  • 2021Digital law: The pursuit of certainty9 cited
  • 2022Framing Accountability in Business-to-Government Data Sharing: The Gap Filling Role of Businesses’ Corporate Digital Responsibility7 cited

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