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From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems

cs.AI updates on arXiv.org·
AI Analysis

The article highlights the challenges of reproducibility in financial AI systems, particularly due to the nondeterminism introduced by advanced models like deep neural networks and Generative AI. It proposes a new evaluation framework to enhance auditability and reliability in regulated financial applications such as credit scoring and fraud detection.

Key Topics

Generative AIdeep neural networkscredit scoringfraud detection

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems | AI Crypto Daily Wire