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ai-policy

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APEX (Action Policy EXecution) is a minimal, external execution boundary for AI systems. It evaluates declared agent intent against explicit, operator-defined policy before execution, enabling deterministic, inspectable control without relying on in-model guardrails.

  • Updated Dec 17, 2025
  • JavaScript

Practical and research-oriented exploration of ethics, responsibility, and governance for AI in software engineering. Policy frameworks, case studies, assessment tools and actionable guidance for responsible AI adoption in engineering teams. Week 07 assignment for AI & SE learning track.

  • Updated Dec 24, 2025
  • Jupyter Notebook

SpecGuard is a command-line tool that turns AI safety policies and behavioral guidelines into executable tests. Think of it as unit testing for your AI's output. Instead of trusting that your AI will follow the rules defined in a document, SpecGuard enforces them.

  • Updated Jan 21, 2026
  • Python

🤖 AI-HPP-2025: Human–Machine Partnership Standard After months of collaborative work with Claude, Gemini, and ChatGPT, I'm publishing a proposal for ethical framework for autonomous AI systems. Key principles: - "Engineering Hack" — find the third way where everyone lives - AI as Partner, not tool - Evidence Vault — black box for AI decisions

  • Updated Feb 5, 2026

The AGI Countdown Clock: A symbolic governance signal tracking progress toward Artificial General Intelligence through public milestones and transparent methodology. Currently at 11:58 PM—2 minute to midnight.

  • Updated Feb 8, 2026

Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via DLL injection and CLI wrappers.

  • Updated Feb 11, 2026
  • Rust

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