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TikTok Algorithm Oversight and the Geopolitics of AI
On September 25, 2025, the U.S. endorsed a plan for U.S. control over TikTok’s data and recommendation engine, while Italy’s new AI law and the EU AI Act tighten algorithmic traceability. These moves signal a global recognition that recommendation algorithms shape markets, security, and trust—and can no longer operate as sealed black boxes.
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The Case for Continuous AI Governance
Annual reviews are not enough. Learn why continuous AI governance is needed to keep pace with evolving risks and maintain board confidence.
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From Policies to Practice: Closing the Evidence Gap
Policies alone are not enough. Learn how organizations can close the AI governance evidence gap with risk registers, drills, and monitoring.
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Cross-Mapping AI Governance Frameworks
EU AI Act, ISO 42001, and NIST AI RMF overlap but differ. Learn how cross-mapping creates efficiency and reduces compliance risks.
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Evidence Libraries as a Foundation for AI Governance
Regulators demand evidence, not policies. Learn why structured evidence libraries are critical for AI governance and audit readiness.
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Shadow AI and the Visibility Crisis
Most AI use is invisible to IT and boards. Research shows how to close the visibility gap with inventories, discovery, and governance nodes.
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Case Study Lessons: AstraZeneca’s Ethics-Based Audit
A 12-month AstraZeneca study shows how ethics-based auditing works in practice. Culture and structure matter more than tools.
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Tooling Gaps in AI Audits: Why We Need More Than Checklists
Current AI audit tools miss harms, stakeholders, and monitoring. Research shows why infrastructure matters more than tools.
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Internal Audit and AI: Adoption Without Integration
Internal audit is adopting AI tools quickly but without integration. Research shows how to connect adoption to assurance.
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The Rising Pressure of AI Regulation and Market Growth
Learn how AI regulation and compliance spending are reshaping governance. Evidence shows urgency in readiness gaps.