Responsible AI for Builders, Not Policymakers
Stop talking about ethics and start building with safety. Learn the practical engineering guardrails, audit trails, and logging strategies for responsible AI.
14 articles
Stop talking about ethics and start building with safety. Learn the practical engineering guardrails, audit trails, and logging strategies for responsible AI.

The safety net. Learn the core concepts of AI Guardrails—external security layers that monitor and control the flow of text into and out of an LLM.

The ultimate security challenge. Explore the theories of AGI (Artificial General Intelligence) risk, the 'Inscrutability' of superintelligence, and the 'Stop-Button' problem.
Safe Autonomy. How to implement 'Pause and Approve' patterns to ensure humans sign off on high-stakes AI actions.
Prompt Injection Defense. Advanced strategies for preventing users from tricking your agent into tool misuse.
Chain of Thought Orchestrated. How to build complex reasoning pipelines where multiple AI models check each other's work.
Setting the Safety Net. How to use AWS Bedrock Guardrails to filter sensitive content and block inappropriate prompts.
Fighting the Hallucination. Advanced techniques to ensure the AI stays strictly within the retrieved documentation.
Common failure modes. Why AI makes things up and how to detect biased or incorrect outputs.
The Weight of Creation. Discussing deepfakes, copyright, and the environmental impact of large-scale AI.
Protecting the Prompt. Understanding prompt injection attacks and data leakage risks in AI systems.
Guarding the Budget. How to prevent your agents from getting stuck in infinite loops and burning through your API credits.
The safety net. When and how to pause an autonomous agent to ask for human approval.
The pause button. Implementing 'interrupts' that allow humans to review and edit agent state before final actions.