AI Governance & Risk
AI self-awareness doesn’t mean consciousness. It means advanced systems understanding their role, goals, and environment—and that changes how AI must be tested, governed, and deployed in the real world.
What This Category Covers
As artificial intelligence systems move from experimentation into real-world use, governance and risk management become essential—not optional.
This category focuses on practical guidance for evaluating, testing, and overseeing AI systems as they grow more capable, adaptive, and embedded in business operations.
Topics include:
- AI alignment and oversight
- Risk identification and mitigation
- Evaluation beyond surface-level outputs
- Governance frameworks for advanced AI
- Responsible deployment and monitoring
These articles are written for executives, founders, and technology leaders who need clarity—not hype—when making AI decisions.
Start with an AI Risk & Readiness Assessment
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