AI Governance and Agentic AI Building Trustworthy Autonomous Systems

Implementing governance for Agentic AI involves several critical steps and considerations to ensure safety, compliance, and effective management of risks. Here’s a detailed breakdown based on your provided content:

Key Components of Governance for Agentic AI

1. Agent Request Handling

   • Request Parsing: Parse the user request to understand the intent.
   • Intent Validation: Ensure the request is valid and within acceptable parameters.

2. Policy Evaluation

   • Rule-Based Policies: Define rules that govern what actions an agent can take under specific conditions.
   • Risk Scoring: Assign a risk score based on the action's potential impact.

3. Tool Access Control

   • Access Checks: Verify if the agent has permission to use certain tools or APIs.
   • Usage Limits: Enforce limits on how often and in what ways an agent can access tools.

4. Human Review Mechanism

   • Escalation Paths: Define clear paths for human review when risk scores exceed thresholds.
   • Manual Override: Allow humans to override automated decisions if necessary.

5. Continuous Monitoring

   • Metric Tracking: Monitor metrics like tool usage frequency, error rates, and policy violation counts.

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