Agentic AI

Agentic AI refers to AI systems designed to perform specific tasks autonomously, such as kombai f

Governance and Trust Frameworks

As agentic-ai systems evolve toward greater autonomy, traditional oversight mechanisms require critical re-evaluation.

Critique of “Human in the Loop” (HITL): The standard HITL model is increasingly viewed as insufficient for governing complex agentic-ai deployments.
- HITL often reduces to superficial review of AI output without deep contextual understanding, failing to address root causes of errors or alignment issues.
- This approach creates a false sense of security for stakeholders while lacking robust governance capabilities.
- A shift toward a comprehensive Trust Framework is required, moving beyond simple oversight to active governance structures.
- For detailed analysis, see Critiquing “Human in the Loop”: A Trust Framework for AI Governance.