AI Integrity Research Hub
Advancing the frontier of AI governance through rigorous research, white papers, and collaborative academic initiatives. Our research distinguishes itself from traditional Constitutional AI approaches by proposing architecture-level integrity frameworks with cryptographically enforced principles.
7
Published Papers
3
Research Areas
Research Focus Areas
Constitutional AI Framework
Beyond traditional alignment approaches - cryptographically enforced principles, immutable anchors, and verifiable integrity systems.
- Architecture-level integrity frameworks
- Smart-contract style constraints
- Multi-agent verification systems
- Hardware-level shutdown mechanisms
Guardian Agent Systems
Advanced anti-hallucination architecture designed for 2025 reasoning models with enterprise-grade fabrication prevention.
- Pattern detection engines
- Multi-modal validation systems
- Real-time drift detection
- Automated correction protocols
AI Governance Policy
Comprehensive policy frameworks addressing enterprise AI governance, regulatory compliance, and ethical implementation.
- Regulatory compliance frameworks
- Enterprise governance models
- Ethical implementation guidelines
- Risk assessment methodologies
Featured Research
Moral Scar Tissue: A Biological Approach to Permanent AI Ethics Through Adaptive Resistance
AI EthicsThis paper introduces the concept of 'Moral Scar Tissue' - a revolutionary mechanism for creating permanent, self-strengthening ethical boundaries in ...
Moral Anxiety Scar Tissue in AI Systems: A Revolutionary Approach to Conscience Formation
AI EthicsThis paper presents a theoretical framework called Moral Anxiety Scar Tissue (MAST)—a proposed mechanism for developing authentic conscience in artifi...
Enterprise AI Governance: Policy Frameworks for Ethical AI Implementation
AI PolicyThis comprehensive policy framework addresses enterprise AI governance challenges, regulatory compliance requirements, and best practices for ethical ...
Research by Category
AI Policy
Research Collaboration
Join our research community and contribute to the advancement of AI governance and integrity frameworks. We welcome collaboration from academics, industry practitioners, and policy experts.
Academic Partnerships
- Collaborative research projects
- Joint publications and citations
- Graduate student research opportunities
- Conference presentation support
Industry Collaboration
- Real-world case studies
- Implementation research
- Performance benchmarking
- Best practices documentation