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.
Workload-scoped runtime enforcement for AI workloads. Deterministic governance at the workload boundary.
Top AI Compliance Tools & Policy Templates 2026 🚀 | Free, Standards-Aligned Governance Frameworks
Guidelines and frameworks for ethical AI integration and management in progressive organizations.
Standard we made to stop ai's from scraping without permission
AI governance frameworks and tools for enterprise AI transformation — built by a Certified Chief AI Officer (CAIO) for practical, production-ready adoption.
Practical AI governance framework for real-world usage. Standards-aligned (NIST, ISO, OWASP). By Suitethink.
A2WF skill for OpenClaw — validate, generate, and audit siteai.json files. The open standard for AI agent governance on websites.
Generate AI_POLICY.md, AGENTS.md, and CLAUDE.md for any repository - pick a preset, customize, download
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.
AI acceptable use policy template for organizations - generative AI governance, data handling rules, and risk mitigation framework
📚 Consolidate Australian AI security standards and frameworks into a single resource for easy navigation and community access.
Public, governed documentation for Keon Systems. Defines claims, architecture, and verification paths for governing AI and automated decisions.
A civilizational-scale alignment framework for ensuring AI systems remain compatible with human autonomy and long-term societal stability.
Navigate China’s AI regulations with practical guidance on algorithm filing, AI service registration, content labeling, and data governance compliance.
AI Governance artifacts applying the NIST AI RMF framework — Risk Register, Acceptable Use Policy & Vendor Intake Questionnaire for LLM deployments.
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.
🛡️ Enforce AI behavior guidelines with SpecGuard, a tool that turns policies into executable tests for reliable and scalable AI output management.
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