Causal Evidentiary Governance for High-Risk Machine Learning Systems

arXiv:2609.01040 · cs.CY, cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.CY, cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/SamahKareem2025/RegTech

Terminology

Ablation — 6× in this paper · explained in 1 episode
Robustness — 5× in this paper · explained in 5 episodes
Ablation study — 4× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Causal Evidentiary Governance — 3× in this paper
Explainability — 3× in this paper · explained in 3 episodes
Verifiability — 3× in this paper · explained in 2 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Accountability — 2× in this paper · explained in 2 episodes
Admissibility — 2× in this paper · explained in 2 episodes
Alignment — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Verification — 2× in this paper · explained in 2 episodes
AUC — 1× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Causal Reasoning — 1× in this paper · explained in 2 episodes
Directed Acyclic Graph — 1× in this paper
Generative AI — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Grounding — 1× in this paper · explained in 3 episodes
Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

Causal Fairness Analysis

Related papers