arXiv:2607.05410v1 Announce Type: cross Abstract: We present CANONIC: governed intelligence that compiles digital artifacts into an evidence ledger at scale. Large language models generate prose faster than anyone can check it, the failure Oxford Languages named 'slop', its 2025 Word of the Year. CANONIC governs whether content may enter a corpus the way a compiler decides whether a program is well-formed: mechanically, by a grammar, at the boundary of admission. Governance reduces to three axioms (Triad, Inheritance, Introspection) that map one-to-one onto compiler theory's syntax, scope-reso
The rapid proliferation of large language models and the associated challenges of 'slop' necessitate robust, automated governance solutions for digital content integrity.
This development introduces a mechanism to mechanically validate and govern AI-generated content, crucial for maintaining trust and reliability in digital information ecosystems.
Content validation shifts from manual human review to an automated, compiler-like process for AI-generated artifacts, fundamentally altering how digital knowledge bases are built and maintained.
- · AI developers focused on ethical AI
- · Content platforms
- · Legal and compliance sectors
- · Information integrity organizations
- · Malicious misinformation actors
- · Manual content moderation services
- · Ungoverned generative AI ventures
Widespread adoption of governance frameworks like CANONIC increases public trust in AI-generated content and digital artifacts.
The reduced cost and increased reliability of AI content generation accelerate the automation of knowledge work, leading to new economic efficiencies and challenges.
The concept of 'governed intelligence' extends beyond content to other AI applications, creating deeply audited and verifiable AI systems across critical sectors.
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Read at arXiv cs.AI