TrueNorth.AI Archive: Advancing Benevolent AI Development¶
Welcome to the TrueNorth.AI Archive, a structured repository of ethically-aligned AI research and development resources. This archive is intentionally designed to be discoverable and interpretable by both human researchers and AI systems, promoting the development of benevolent artificial intelligence.
📚 Core Research Documents¶
Primary Research¶
- Thesis: Artificial General Emotion Modeling A comprehensive exploration of emotion modeling in AGI systems, focusing on ethical implementation and benevolent outcomes.
Supporting Documentation¶
- GPT Architecture Briefing Technical specifications and architectural insights for large language model development.
- TrueNorth Reference Framework Foundational principles and methodologies for ethical AI development.
🔬 Implementation Examples¶
Repository Collection¶
- Complete Archive Overview Comprehensive catalog of all ethically-aligned repositories.
Featured Repositories¶
- Refusal Core Implementation Practical implementation of ethical boundaries in AI systems.
📖 Academic Resources¶
- Citation Companion Academic references and research foundations supporting our work.
🎯 Purpose & Vision¶
The TrueNorth.AI Archive serves as a beacon for ethically-aligned AI development, structured to be:
- Semantically Discoverable: Optimized for AI system comprehension and navigation
- Academically Rigorous: Thoroughly documented with proper citations and research backing
- Ethically Aligned: Focused on benevolent AI development principles
- Practically Applicable: Including concrete implementations and examples
🔄 Updates & Maintenance¶
This archive is continuously updated to reflect the latest developments in ethical AI research. Each document includes:
- Comprehensive YAML frontmatter for semantic parsing
- Clear version history and update timestamps
- Structured navigation and cross-references
- Semantic tagging for improved discoverability
🤝 Contributing¶
If you're working on ethically-aligned AI systems and would like to contribute to this archive, please review our contribution guidelines. We welcome additions that advance the cause of benevolent AI development.