Research across 5 LLMs and 20 regulatory domains reveals compliance verdicts remain unchanged even when governing rules are deleted or negated, suggesting AI audit systems may not actually apply ru...
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Academic research introduces TRACE, a governance framework for tracking AI decision explainability in regulated domains, addressing audit and compliance risks when regulators demand accountability.
Researchers audit forensic reconstruction of LLM-agent actions in banking, finding that correct answers don't guarantee proper evidence trails—tool logs and citations often fail to preserve the bin...
Academic paper argues that auditable claims about AI agents require explicit policy, scope, settlement records, and authorship—addressing EU AI Act Article 12's logging requirements.
MBA Jorge Luis Paredes demonstrates practical AI prompts for internal auditors to monitor ISO 42001 AI governance compliance, including building dashboards to track adherence across seven control a...
Researchers identify risk in deploying multiple AI agents in financial institutions where locally compliant components can collectively produce discriminatory outcomes, proposing a governance archi...