AI can change Blockchain

A blockchain is a secure distributed enduring database shared by all parties in a very distributed network where transaction data can be easily audited and recorded. The data are stored in rigid structures called blocks, which are connected to each other in a chain through a hash. Most often used term used today is Artificial Intelligence, which states that the ability of a machine to exhibit intelligence.

A circulated database accentuates the importance of data sharing among multiple applicants on a particular network. On the other hand, Artificial Intelligence depends on Big Data, particularly sharing of data. With additional open data to analyze, the conjectures and assessments of machines are considered more correct, and the algorithms generated are more reliable.

The theory and practice of building machines capable of performing tasks that seem to require intelligence is what we can call Artificial Intelligence.

Blockchain could:

· Help AI explaining itself: the Artificial Intelligence black-box suffers an explainability problem. Having a transparent audit path can’t solely improve the trustworthiness of the data as well as of the models but also provide a transparent route to trace back the machine decision process.

· Increase AI effectiveness: A secure information sharing suggest that additional information, and then better models, better actions, better results and better new data.

· Blockchain technologies can secure data by fostering the creation of cleaner and more organized personal data. Secondly, it will allow the appearance of new marketplaces such as a data marketplace, a models marketplace, and even an AI marketplace.

· As a part of a task is managed by autonomous virtual agents, having a clear audit trail will help bots to trust each other. It will additionally increase interaction between machine-to-machine and transaction providing a secure way to share the data and coordinate decisions further as a robust mechanism to succeed in the assemblage.

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