📌 Blockchain-Based Model Auditing Summary

Blockchain-based model auditing uses blockchain technology to record and verify changes, decisions, and actions taken during the development and deployment of machine learning or artificial intelligence models. This creates a secure and tamper-proof log that auditors can access to check who made changes and when. By using this approach, organisations can improve transparency, accountability, and trust in their automated systems.

🙋🏻‍♂️ Explain Blockchain-Based Model Auditing Simply

Imagine keeping a diary where every entry you write is locked so nobody can change or erase it. Blockchain-based model auditing works similarly, making sure every change or update to a computer model is tracked and cannot be secretly altered. This helps everyone trust that the information about the model is accurate and has not been tampered with.

📅 How Can it be used?

A financial institution could use blockchain-based model auditing to track all updates and decisions for its credit scoring algorithms.

🗺️ Real World Examples

A healthcare company develops a machine learning model to assist with diagnosis. By using blockchain-based model auditing, every update to the model, from training data changes to algorithm adjustments, is recorded on a blockchain. This allows regulators and internal reviewers to verify that the model remains compliant with medical standards and that no unauthorised changes have been made.

A logistics firm uses predictive models to optimise delivery routes. By applying blockchain-based model auditing, the company creates an immutable record of all model changes and decision-making processes, ensuring that any adjustments can be traced and justified for operational transparency and regulatory compliance.

✅ FAQ

Blockchain-based model auditing is a way of keeping a secure record of every change and decision made when building and using machine learning or artificial intelligence models. By using blockchain, organisations can make sure this record cannot be tampered with. This helps everyone trust that the models are being managed responsibly and makes it easier to spot mistakes or misuse.

Blockchain creates a permanent log that shows exactly who made changes to an AI model and when. This means anyone reviewing the process can see the full history without worrying that records have been changed or hidden. It makes it much easier for organisations to be open about how their automated systems are developed and used.

Yes, by making all changes and decisions visible and unchangeable, blockchain-based auditing can help catch errors or improper actions more quickly. It encourages everyone involved to follow best practices, knowing their actions are being recorded. This can help prevent issues from going unnoticed and supports fairer, more reliable use of AI.

📚 Categories

• AI Governance
• Blockchain
• Explainability & Interpretability

🔗 External Reference Links

Blockchain-Based Model Auditing link

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