# Blockchain As a Platform For Artificial Intelligence (AI) Transparency Content type: Research Paper Summary: This paper investigates the role of blockchain technology as a foundational infrastructure for enhancing AI transparency, auditability, and accountability. The authors identify the core issue of 'black box' AI models, where decisions are often non-deterministic or opaque to end users. By utilizing blockchain's immutable ledger, the researchers propose a framework for logging AI model training data, hyperparameters, and decision outputs. The study provides a architectural model where verifiable l Key concepts: Anonymous, ai transparency, explainable ai, data provenance, immutable ledgers, decentralized audit, cryptographic verification
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Blockchain As a Platform For Artificial Intelligence (AI) Transparency

Anonymous

arXiv preprintJanuary 2025

Abstract

This paper investigates the role of blockchain technology as a foundational infrastructure for enhancing AI transparency, auditability, and accountability. The authors identify the core issue of 'black box' AI models, where decisions are often non-deterministic or opaque to end users. By utilizing blockchain's immutable ledger, the researchers propose a framework for logging AI model training data, hyperparameters, and decision outputs. The study provides a architectural model where verifiable logs ensure that AI agents adhere to pre-defined constraints. The methodology involves a comparative analysis of decentralized storage systems and cryptographic hashing techniques to ensure data integrity during the AI lifecycle. The results suggest that while blockchain integration introduces latency issues, it significantly improves the trust-index of AI applications in sensitive sectors like governance and healthcare. The significance of this work lies in providing a technical blueprint for the 'explainable AI' (XAI) movement through decentralized verification methods.

Key Findings

  • 1Blockchain provides an immutable audit trail for AI training datasets and model outputs.
  • 2Decentralized verification can mitigate the 'black box' risks associated with opaque neural network decision-making.
  • 3High-latency overhead remains a primary bottleneck for integrating blockchain with high-frequency AI model inference.
  • 4Cryptographic hashing is essential for confirming that deployed AI models match their audited counterparts.

Topics

ai transparencyexplainable aidata provenanceimmutable ledgersdecentralized auditcryptographic verification
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Citation

Anonymous (2025). Blockchain As a Platform For Artificial Intelligence (AI) Transparency. arXiv preprint. https://arxiv.org/abs/2503.08699

BibTeX

@misc{blockchainas2025,
  title = {Blockchain As a Platform For Artificial Intelligence (AI) Transparency},
  author = {Anonymous},
  year = {2025},
  howpublished = {\url{https://arxiv.org/abs/2503.08699}},
}

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