Collective Knowledge Resilience A strategic plan to strengthen shared knowledge creation, aggregation, and use in response to the risk that heavy reliance on agentic AI may weaken human learning and collective knowledge. Submitter's Note: This plan was inferred and rendered in StratML format by ChatGPT based upon the academic research paper "AI, HUMAN COGNITION AND KNOWLEDGE COLLAPSE" by Daron Acemoglu, Dingwen Kong, and Asuman Ozdaglar, which is available at https://www.nber.org/system/files/working_papers/w34910/w34910.pdf Collective Knowledge Resilience Initiative CKRI 69a2e7d9-8c85-4d38-afe8-f76f28f5c88a A hypothetical collaborative initiative focused on preserving and improving the human and institutional capacities required to generate, share, and apply general knowledge in the age of AI. Educational institutions Teach foundational knowledge and sustain learning pathways. Professional associations Support standards, practice, and continuing competence. Public agencies Can publish plans, reports, and knowledge resources in open, machine-readable formats. AI developers Design systems that either reinforce or weaken human learning incentives. Knowledge workers Generate, apply, and share domain knowledge through practice. Learners Develop the next generation of human capability and judgment. Standards development organizations Maintain open schemas and vocabularies for structured knowledge sharing. A world in which AI strengthens rather than erodes humanity's shared capacity to learn, reason, and improve. ea7c792e-1c76-45b6-a8c5-d3cb506734d1 To promote practical measures that preserve human learning, strengthen collective knowledge aggregation, and encourage open, machine-readable publication of institutional intentions and results. f8c257f6-adcf-47a3-a4c4-cf0b1f5bc756 Dignity Honor human responsibility, visibility, and meaningful contribution. Learning Advance the continuous development of human understanding and judgment. Openness Favor transparent, shareable, and reusable knowledge resources. Accountability Make intentions, actions, and results visible for evaluation and improvement. Standards Use open, interoperable formats to support durable institutional memory and discovery. Aggregation Strengthen the capacity of communities and institutions to aggregate and share general knowledge. 4edc9b2b-699d-4adb-996a-b56443090e92 1 Educational institutions Can improve the capture and dissemination of validated knowledge. Professional associations Can curate and circulate practice-based knowledge. Public agencies Can publish authoritative information for public reuse. Repositories Create and maintain open repositories for structured, shareable knowledge resources. ac144114-fcf6-4dc7-b788-3ea91e91cf62 1.1 Publication Encourage organizations to publish plans, reports, and explanatory content in open, machine-readable formats. e97f7ee5-192e-4372-9854-db398de4d267 1.2 Discovery Improve search, retrieval, and reuse of trusted knowledge across communities of practice. f00a26c7-fe3e-4ea2-9c0b-cffb16283159 1.3 Learning Preserve and improve human learning pathways needed to sustain general and context-specific knowledge. 022c866f-b4c6-47e5-afc2-1a758d64a4ae 2 Learners Need opportunities to build foundational understanding and judgment. Knowledge workers Need continuing opportunities to practice and deepen expertise. Apprenticeship Maintain apprenticeship and early-career pathways through which novice workers gain practical competence. b8e80881-4c3c-4f37-b69a-e271e90f76b5 2.1 Practice Require meaningful human practice in education and professional training rather than exclusive reliance on AI outputs. 0ffb01cc-bd0b-4c30-bbd3-5b0cb279bce2 2.2 Reasoning Encourage workflows in which people explain, test, and refine their own reasoning. 833e7ed6-e411-442c-a3c6-ce0d4ec0ff45 2.3 Incentives Encourage the production and sharing of human-generated knowledge as a public good. c14626c6-c55c-4f31-ad6e-c6488e4a0cac 3 Professional associations Can recognize and reward valuable knowledge contributions. Public agencies Can support incentives through policy, grants, and procurement. Recognition Expand recognition for individuals and organizations that contribute useful public knowledge. c6b6de44-7edf-41ed-8da7-88bc668dee11 3.1 Compensation Support compensation, grants, or other rewards for the creation of reusable knowledge resources. 40ffb348-540e-4c23-b63b-1b106b0b6c4b 3.2 Participation Increase participation in communities that document solutions, lessons, and evolving practice. fec467ee-1b10-44df-9084-2a2f6d7c729e 3.3 Augmentation Promote AI designs and workflows that augment human cognition rather than displace it. 6bac4fd3-330b-4763-b60a-11d6743f444f 4 AI developers Can design systems that reinforce learning and judgment. Educational institutions Can adopt AI in ways that support human development. Transparency Encourage AI systems to expose sources, reasoning paths, and uncertainty where feasible. e26cad68-eeb4-45f7-9f0c-034c406eb9f5 4.1 Exploration Favor AI interactions that guide inquiry, comparison, and reflection rather than merely deliver answers. 8fc57470-fc21-4ce3-a4ac-c34d508bc455 4.2 Oversight Retain appropriate human review and responsibility in consequential decisions. 176b62a1-444d-4a1c-a01e-219ffedce562 4.3 Standards Advance open standards that support durable institutional memory, interoperability, and public accountability. ec13e1a7-c7ec-4cd5-aeff-768d23a7f76c 5 Standards development organizations Can maintain interoperable schemas for structured publication. Public agencies Can adopt standards in their own publishing practices. StratML Encourage use of StratML and related open standards to publish intentions, stakeholders, and results in machine-readable form. 2d59582a-ab92-482d-b5ed-9e5ed4e63e52 5.1 Interoperability Promote compatibility among knowledge repositories, planning systems, and discovery tools. 88a6d66a-bf67-40c0-8160-641187231db3 5.2 Demonstration Show the practical value of standards-based publication through working examples and reusable tools. 427189a1-266d-4a27-bcee-bbbb352f864a 5.3 2026-03-12 https://stratml.us/docs/CKR.xml Owen Ambur Owen.Ambur@verizon.net