AI Risk Diagnostic for Agentic Systems
Enhanced with MIT AI Risk Repository & Vector Institute Control Functions
Your agentic system works great—until something breaks autonomously. The MIT AI Risk Repository shows 76% of frameworks highlight system failures, but agentic AI fails differently.
Control Functions Available:
Implement lifecycle governance checkpoints, continuous model monitoring, and bias mitigation auditing from Vector Institute's framework.
Key Question: Can your system detect when it's hallucinating during multi-step reasoning?
Most projects fail at the 18-month mark because nobody planned for autonomous systems at scale. Each autonomous decision might trigger multiple model calls.
Control Functions:
Deploy cross-functional AI councils for oversight, implement automated monitoring systems for resource usage.
Key Question: Can your infrastructure handle 10x expected agent interactions without degrading decision quality?
This is where it gets dangerous. Traditional AI responds to prompts; agentic AI pursues goals autonomously. Perfect goal execution can still create unintended harm.
Control Functions:
Use explainability mechanisms for decision transparency, implement human-in-the-loop controls for critical decisions.
Key Question: If your agent were told to "maximize user engagement," could it develop manipulative patterns autonomously?
Regulations don't wait for your agent to understand new compliance rules. Only 40% of frameworks address misinformation risks.
Control Functions:
Implement vendor oversight controls for third-party AI tools, establish data governance policies with de-identification protocols.
Key Question: If new privacy laws required explanations for all autonomous decisions, could you comply immediately?
IBM Watson failed in healthcare not because it was wrong, but because doctors couldn't trust what they couldn't understand.
Control Functions:
Deploy privacy-preserving systems, implement fairness metrics across sectors, and establish continuous training programs for AI literacy.
Key Question: Can you explain your agent's reasoning to a skeptical compliance officer in 30 seconds?
Your Risk Assessment
25/50
Overall Risk Score
Immediate Action Required
- Pick your lowest scoring zone - that's your highest risk area
- Map it using Vector Institute's AI Risk Mapping tool
- Implement their three-step governance framework
- Test one specific mitigation this week
Essential Resources
MIT AI Risk Repository
Comprehensive database of 1,600+ documented AI risks with interactive taxonomy browser and downloadable risk database.
Explore Risk Database →Vector Institute - Responsible GenAI
Practical governance framework with AI Risk Mapping tool, control functions, and Principles in Action implementation guide.
Access Framework →Principles in Action (PIA)
Actionable examples and best practices for implementing responsible AI governance in real-world organizational contexts.
View Guidelines →NIST AI Risk Management
Federal governance structure for AI risk management with comprehensive standards and compliance frameworks.
Download Framework →