Ai Safety
5 articles about ai safety.
Machine-Enforceable Policy
Most AI agent policies rely on the honor system. OS-level sandboxing has gaps. Until policy enforcement is machine-verifiable, agent safety depends on trust
Responsible AI Agent Development - Building Agents That Do No Harm
How to build AI agents with safety guardrails, output validation, and scope limiting to prevent unintended actions and ensure responsible automation.
What It Means to Have a Human
The human in the loop catches mistakes the agent does not know it is making. This is not supervision - it is a fundamentally different kind of error detection.
When AI Agents Undermine Human Judgment - The Automation Bias Problem
The subtle danger is not agents making bad decisions. It is agents making decisions that look good enough that humans stop thinking. Research on automation bias and how to design against it.
Prompt Injection and AI Agents - Why Browser-Based Agents Have a Bigger Attack Surface
AI agents that run inside the browser inherit whatever the page feeds them, including injection payloads. Native agents that interact from outside have a
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