This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

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

The comprehensive, community-maintained index of Australian AI Security standards, policies, and frameworks across all 11 jurisdictions.

Artificial Intelligence Regulation Interface & Agreements

Centralized AI IDE rules management for Cursor and GitHub Copilot.

This repository provides comprehensive guidelines, frameworks, and sample policies for the ethical and effective integration of AI in progressive organizations. It serves as a platform for discussion and collaboration on AI governance and ethics.

Non-Human Identity Disclosure Standard for Healthcare Voice Workflows

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.

Independent research on human-centered AI and LLMs | Policy frameworks for responsible AI | A collaborative space for researchers, innovators, and policymakers advancing ethical, inclusive AI

🤖 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

Comparing AI policies and strategies.

Enterprise-grade governance and policy enforcement for agentic AI systems.

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.

Guidelines and frameworks for ethical AI integration and management in progressive organizations.

A comprehensive governance and technical blueprint for the safe development and oversight of Artificial General Intelligence (AGI), based on the "Corralled Superintelligence" paradigm. Includes philosophical foundations, architectural design, and operational protocols.

Stability Capitalism: The AI Dividend that Prevents the Automation Cliff

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.

📚 Consolidate Australian AI security standards and frameworks into a single resource for easy navigation and community access.

Curated dataset and tools for tracking global AI legislation — US federal, state, and international frameworks.

🛡️ Enforce AI behavior guidelines with SpecGuard, a tool that turns policies into executable tests for reliable and scalable AI output management.