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VerifiableKnowledgeGraph: Neuro-Symbolic AI Foundation

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VerifiableKnowledgeGraph: Neuro-Symbolic AI Foundation

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Suwetha Parker Dec. 15, 2025
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Challenge: Open challenge

Industries

Algorithmic/technicalProductivity

Technologies

AGI R&DBlockchain & infrastructureNeuro-symbolic AI

Tags

AIGovernance & tooling

Description

Deep Funding organizes projects into periodic rounds. Participants can submit proposals for the current round which eventuallly will be voted on by community to be awarded funds. You can also view the projects that have been awarded funds

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

Current AI systems lack grounded , verifiable knowledge bases . Neural networks excel at pattern recognition but fail at logical reasoning and explainability which is critical for AGI safety . Without structured knowledge integration , AI systems hallucinate , make biased decisions , and cannot justify their reasoning . This blocks AGI development toward trustworthy , beneficial systems that humans can understand and verify .

Proposed Solutions

We will develop a decentralized knowledge graph layer for SingularityNET, utilizing RDF standards, blockchain anchoring, and verifiable AI to ensure data integrity. This layer will integrate with MeTTa for symbolic reasoning, enabling neural networks to learn from tamper-proof knowledge. Inference rules, entity resolution, and audit trails will be implemented for transparency. Tools for knowledge asset creation, discovery, and governance will be created, alongside a public library of AGI assets.

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