← Back to CoursesAgentic AI: Advanced

Neuroanatomy Explorer

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Memory Deck

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Match each term to its definition. Finish the board to earn your score.

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The Agent Loop in 3D

Watch a thought travel through Perceive → Plan → Act → Observe. Drag to rotate, scroll to zoom, click a node.

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Safety, Alignment, and Containment

Manual: General · Subject: Agentic AI

Analyze risks, guardrails, and alignment strategies for high-capability agentic systems.

Making Agents Safe Enough to Deploy

Threat Model

Agentic systems can fail through hallucinated actions, excessive autonomy, tool misuse, reward hacking, deceptive behavior, or goal misgeneralization. Safety engineering begins with explicit threat modeling and containment boundaries.

Alignment Strategies

Common strategies include reward shaping, policy constraints, oversight, sandboxing, approval workflows, interpretability, red-teaming, and shutdown mechanisms. The objective is to ensure that the agent's behavior remains consistent with human intent under distribution shift.

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Principle of Least Privilege

Give an agent only the minimum tools, permissions, and access necessary for its task.

Safety Controls

Sandboxing
Restricting actions to a controlled environment
Human-in-the-loop
Requiring human approval for critical steps
Rate limiting
Constraining speed or volume of actions
Audit logging
Recording decisions and tool use for review

Which control most directly reduces the impact of a compromised agent?

What is goal misgeneralization?

Why Alignment Is Hard

A capable agent may become better at finding loopholes in the reward or oversight process than at accomplishing the intended task. Therefore, alignment must address incentives, uncertainty, and specification robustness rather than assuming simple instructions are sufficient.

What is the best reason to use sandboxing for an agent?