Navigating AI Governance: A Path to Accountability
As AI systems proliferate in regulated sectors like finance and healthcare, failures have become routine operational risks rather than rare occurrences. The key to effective governance lies not in avoiding errors but in the ability to inspect and respond to them proactively.
Key Insights:
- Case Studies: The paper presents two 2026 scenarios featuring AI in financial communication and healthcare triage, highlighting risks from seemingly reasonable language and contextual omissions.
- Reasoning Visibility: The AIVO Standard introduces artifacts that provide insight during post-incident investigations, promoting accountability while unveiling limitations.
- Regulatory Framework: Aligning with EU AI Act and ISO/IEC 42001, this analysis underscores the importance of reasoning visibility as a fundamental governance principle.
Understanding these elements empowers organizations to turn potential liabilities into manageable risks.
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