Safety
Learn to build safe and aligned AI agents. Master interpretability, robustness, value alignment, and Constitutional AI principles.
Prerequisites
Complete Level 7: Orchestration
🎯What You'll Learn
- ✓AI alignment and value learning
- ✓Agent interpretability methods
- ✓Robustness to adversarial inputs
- ✓Safe exploration strategies
- ✓Constitutional AI principles
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Agent Safety Introduction
Introduction to agent safety: preventing harm, ensuring reliability, and alignment.
Implementing Guardrails
Implement guardrails to constrain agent behavior and prevent unsafe actions.
Constraint Systems
Design constraint systems that define boundaries for agent decision-making.
Permission & Access Models
Build permission and access control models for agent tool use and resources.
Policy Engines
Implement policy engines that enforce organizational rules and compliance requirements.
Risk Assessment
Assess risks of agent deployment: failure modes, security, privacy, and impact.
Agent Alignment Strategies
Learn alignment strategies to ensure agents pursue intended goals and values.
Audit Logging & Traceability
Implement comprehensive audit logging for agent actions, decisions, and tool usage.
Ethical Considerations
Understand ethical considerations: transparency, fairness, accountability, and bias.
Safety Testing Sandbox
Test agent safety in a controlled sandbox environment before production deployment.