The Research Library curates sources, annotated references, official frameworks, academic concepts, and foundational literature relevant to Symbiokinetic AI and AI Symbiokinetics. It separates established research from original synthesis so readers can inspect the foundations behind the field library.
Evidence status
Established Concept. This label marks how the claim should be read inside the Symbiokinetic.com evidence system.
Definition
The Research Library is the source layer for the knowledgebase. It includes governance frameworks, cybernetics, human-computer symbiosis, embodied cognition, human factors, AI safety, and documentation architecture.
Why it matters
A canonical knowledgebase needs visible evidence trails. The Research Library prevents the site from becoming thin SEO content by giving readers sources, provenance, and further reading.
Core model or diagram
Source notes are grouped by governance, feedback systems, human-AI interaction, embodiment, documentation architecture, and speculative/civilizational models.
Examples
- NIST AI RMF for risk-management language.
- UNESCO AI ethics for dignity, rights, oversight, and environment.
- Licklider, Wiener, and later HCI/cybernetics sources for human-machine partnership.
What this is not
- It is not a claim that every cited source endorses Symbiokinetic AI.
- It is not a comprehensive academic bibliography yet.
- It is not a substitute for primary-source reading.
Risks and limitations
- Sources can be misread without context.
- Adjacent disciplines may disagree on terminology.
- Source lists need periodic review.
Related concepts
Sources and further reading
- NIST AI Risk Management Framework
- NIST AI RMF Playbook
- UNESCO Recommendation on the Ethics of Artificial Intelligence
- Google Search Central: helpful, reliable, people-first content
- Schema.org DefinedTerm