Researchers propose irreversibility budget to manage fleet-level AI agent risks

Semi-Structured Regression Model Balances Credit Risk Prediction With Audit T...

HQ arXiv: AI + Accounting arXiv · 9d ago · 1 min read

Researchers introduce findr, a machine learning framework that combines predictive accuracy with interpretable credit risk decisions and fairness constraints for regulatory compliance.

Generative AI inverts machine verification economics for autonomous systems

HQ arXiv: AI + Accounting arXiv · 12d ago · 1 min read

Researcher demonstrates single person directing fleet of AI agents via machine verification at scale, flipping traditional cost-overhead model where verification becomes essential productivity safe...

SENTRY replaces subjective questionnaires with deterministic ML for financial...

HQ arXiv: AI + Accounting arXiv · 13d ago · 1 min read

Researchers present SENTRY, a deterministic ML pipeline that automates risk assessment for IT changes in financial institutions, replacing error-prone self-reported questionnaires with auditable, c...

Benchmark reveals agentic AI models fail repeatedly at accounting tasks

HQ arXiv: AI + Accounting arXiv · 18d ago · 1 min read

AgentRelBench, a new reliability framework, tested nine LLM models on accounting operations and found systematic failures in irreversible tasks—exposing that single-run audits miss critical agent d...

Provenance tracking framework ensures AI agents meet audit requirements

arXiv: AI + Accounting arXiv · 21d ago · 1 min read

Research proposes Matrix, a causal-state layer for agentic workflows that enforces governed execution with inspectable provenance—critical for institutional settings like accounting where correct o...