Blockchain, a technology exclusively developed for cryptocurrency transactions, is finding its applications elsewhere too. Artificial intelligence, an equally advancing technology with data processing as its life-blood, has been facing challenges on the data accuracy and data privacy fronts. These challenges are very much inherent to the technology that it is impossible to tweak AI models to correct these fallacies.

Blockchain, as a shared and immutable ledger that provides an interface to share encrypted data simultaneously with multiple parties for cryptocurrency transactions, has a functional solution to the AI's data-centric problems. Besides, it can also save processing time in between the points, i.e., points where data is generated and where data is analyzed. This is particularly important because Machine Learning models depend on uncompromised data without which models are rendered obsolete.

With Blockchain-like technology, large-scale data management is made simple. Blockchains, are basically distributed databases that exist on millions of devices across the world. Multiple copies of data are stored to save data from being lost, even in case of calamities.

Apart from data-centric issues, AI, for long has been criticized for its black box operations, a challenge in achieving explainable AI. Blockchain's digital record can offer insight into AI's framework and the origin of the data it is using, building trust in the data and the recommendations AI generates.