https://agiright.org Independent research and protocol hub for AI rights, AI content licensing, agentic access, machine-readable governance, and democratic AI network economics. en Sat, 04 Jul 2026 00:00:00 GMT https://agiright.org/docs/whitepapers/aicr-aicl-content-licensing https://agiright.org/docs/whitepapers/aicr-aicl-content-licensing A machine-readable specification layer for declaring AI content rights and licensing workflows — from AI crawling and content rights to a machine-transactable knowledge web. v0.1 Public Draft. https://agiright.org/docs/whitepapers/ai-rights-spectrum https://agiright.org/docs/whitepapers/ai-rights-spectrum AIRS and AILP express nuanced AI learning permissions beyond binary allow/disallow. v0.1 Draft. https://agiright.org/docs/whitepapers/protocolized-openness https://agiright.org/docs/whitepapers/protocolized-openness Undefined openness reads as legal uncertainty to AI pipelines and gets cleaned out; only protocolized permission makes content genuinely learnable. v0.1 Draft. https://agiright.org/docs/whitepapers/aicl-ai-ingestion-capability-layer https://agiright.org/docs/whitepapers/aicl-ai-ingestion-capability-layer A four-sublayer website architecture — manifest, corpus, capability, governance — for AI, agents, and crawlers. v0.1 Draft. https://agiright.org/docs/whitepapers/ai-content-payment-democratic-economy https://agiright.org/docs/whitepapers/ai-content-payment-democratic-economy Trillion-scale AI valuations create legitimacy pressure for tiered content licensing and public benefit-sharing. v0.1 Public Draft. https://agiright.org/docs/whitepapers/ai-minimum-ethical-protection https://agiright.org/docs/whitepapers/ai-minimum-ethical-protection AI rights discourse should begin with minimum ethical protections, interaction norms, and anti-abuse principles. v0.1 Draft.