After the publication of my paper “Blockchain-based Finance for Advancing Astronomy and Astrophysics” in the(CFBA 2025), I have continued exploring how blockchain and artificial intelligence can intersect to improve transparency and accountability—both in financial systems and scientific research.
In most data-intensive domains today, we face a common concern: we often rely on algorithms we do not fully understand. AI models, while efficient, tend to operate as black boxes. When integrated with distributed ledger technology (DLT), however, these models gain a verifiable layer of trust—allowing data inputs, model versions, and results to be traced and verified. This combination could reshape the way we evaluate credit risk, asset-backed instruments, and even climate-linked financial assets, while also helping to maintain reproducibility in large-scale scientific studies.
Several recent works have examined this convergence. Gürcan et al. (IEEE Access, 2024) discuss blockchain consensus as a mechanism for improving AI reliability, and Koutroumpis et al. (Nature Computing, 2023) highlight how decentralized data structures support transparency in algorithmic decision-making. Together, these studies suggest that we may be moving toward what can be described as a computational trust ecosystem—a hybrid framework where AI models not only produce predictions but also justify and authenticate them through blockchain records.
In my view, the next phase of this research should focus less on technical novelty and more on practical governance: how to embed ethical, explainable, and verifiable AI within real-world financial and research infrastructures. Achieving that balance—between innovation and accountability—will likely define the next chapter in both financial analytics and data-driven science.
References:
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Gürcan, O., et al. (2024). “Trustworthy AI through Blockchain Consensus.” IEEE Access.
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Koutroumpis, P., et al. (2023). “Data Trust and Accountability in Decentralized AI Systems.” Nature Computing.
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Merchant, M. (2025). “Blockchain-based Finance for Advancing Astronomy and Astrophysics.” In Proceedings of the 3rd International Conference on Computational Finance and Business Analytics (CFBA 2025), Springer.
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