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TrustLens AI – Decentralized AI for Verifiable & Explainable Decisions

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TrustLens AI – Decentralized AI for Verifiable & Explainable Decisions

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Karthik 78 Dec. 15, 2025
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Challenge: Open challenge

Industries

Algorithmic/technicalCybersecuritySafety and ethics

Technologies

Blockchain & infrastructureComputer visionReinforcement learning

Tags

AIGovernance & tooling

Description

TrustLens AI is a decentralized trust layer that makes AI decisions explainable, verifiable, and auditable. It provides human readable explanations for AI outputs and creates cryptographic proofs linking model versions, inputs, and results. Built on SingularityNET, it enables community auditing and transparency, helping developers and organizations deploy ethical, trustworthy AI aligned with the public good

Detailed Idea

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

TrustLens AI is a decentralized project that helps people trust artificial intelligence decisions. Today many AI systems work like black boxes. They give results but do not explain how or why a decision was made. This creates confusion mistrust and fear especially when AI is used in important areas like finance hiring healthcare and governance.

TrustLens AI solves this by adding clear explanations to every AI output. It shows in simple language why a decision was made. Each decision is also securely recorded along with the model version and inputs so it cannot be changed later. This makes AI decisions easy to verify and review at any time.

 

The project is built on the SingularityNET ecosystem which means it is not controlled by one company. Communities can review models check explanations and help improve quality over time. TrustLens AI acts as a shared layer that any AI system can use making AI more transparent accountable and safe for real world use

Problem description

AI systems increasingly make high impact decisions, yet most operate as opaque, centralized black boxes. Users cannot understand, verify, or audit how decisions are made, leading to mistrust, hidden bias, regulatory risk, and slow adoption. There is no shared, decentralized infrastructure to ensure AI decisions are transparent, accountable, and verifiable

Proposed Solutions

TrustLens AI provides a decentralized trust layer for AI by generating human readable explanations for model outputs and recording cryptographic proofs of inputs, model versions, and decisions. Built on SingularityNET, it enables verifiable, auditable, and community-reviewed AI decisions, allowing developers and organizations to deploy transparent and accountable AI without rebuilding explainability from scratch.

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