Blockchain As a Platform For Artificial Intelligence (AI) Transparency

Blockchain can create permanent records of AI decisions: By using blockchain's immutable ledger system, organizations can maintain transparent, verifiable records of how AI systems made specific decisions—particularly important in high-stakes fields like healthcare and finance where accountability matters most.

The "black box" problem remains a critical barrier to AI trust: Current AI systems often cannot explain their reasoning to stakeholders, which limits understanding and verification of outcomes. Blockchain-enhanced transparency could help address this fundamental trust issue by documenting the data and processes behind AI decisions.

Implementation faces significant practical hurdles: While promising, integrating blockchain with AI systems presents real challenges including scalability limitations, technical complexity, and computational overhead that must be solved before widespread adoption is feasible.

Regulatory compliance and ethical alignment are key benefits: The paper suggests blockchain-enhanced AI could help organizations meet regulatory standards and demonstrate that their AI systems operate ethically and accountably—increasingly important as governments develop AI governance frameworks.

This approach requires a new framework, not just existing technology: The paper proposes that effective blockchain-AI integration needs a purpose-built framework rather than simply applying current blockchain or AI solutions, suggesting this is still an emerging area requiring further development.