Blockchain and AI

Blockchain and AI combination could be a good match

Fossil fuel and machines drove the industrial revolution in the olden days, but the current revolution is championed by data-driven AI and blockchain.

With blockchain being one of the biggest innovations of our time, it is, therefore, of great importance to understand the impact of both Blockchain and AI when combined and what is required to make the on-going revolution a success.

At first, glance combining Blockchain and AI may seem impossible because while Blockchain works under the decentralized data storage principle, AI creates a platform for concentrating data in centralized systems. However, many companies are now figuring out ways to combine the two in their processes.

Combining blockchain and AI can provide the much-needed computing power that fuels the ethical use of artificial intelligence and all its supporting technologies.

The data fed into AI is also of great importance as well as the results achieved thereof. For that reason, combining blockchain and AI may bring back trust when it comes to collecting and storing data, data that is mostly used to enable AI machines to create patterns, connections, and insight that provide output.

Use cases of blockchain and AI

Management of data

Blockchain and AI

The progress made in AI is attributed to the progress that’s being made in the Big data sector. How tech companies handle data is a matter of great concern to the public also with authorities protecting consumers.

It is, therefore, legally and morally responsible for companies dealing with big data to ensure its safety but also pay attention to privacy sensitivity. Combining blockchain and AI has the potential of ensuring that Big data is safely handled.

The rapid increase of data has made it necessary to use blockchain as storage for AI gathered data. The blockchain technology is more secure since data stored in it is broken down into small pieces and distributed to various blocks in the network.

Additionally, the entire system is decentralized, and each node in the network stores a complete copy of the data. Every activity that’s carried out in the blockchain is usually highly encrypted. This means that it is almost impossible to tamper with the data.

Combining blockchain and AI in Data management

Given the sensitivity around data gathering and handling nowadays, blockchain can play a very key role to solve this problem.

Increasingly, we see projects that compensate people for the data they provide. This then brings back control of the data collected in the hands of the people who provide the data.

Such a use case of combining Blockchain and AI is set to disrupt the way data is collected, stored and used.

Having people get paid for the data they provide to cooperations and allowing the providers of such data to decide which cooperation they will like to provide their data to and how much data they will like to give out is a more ethical way of making money out of people’s data.

Unmasking AI’s ‘Black box.’

Blockchain and AI

How AI machines and systems come to conclusions or give output has been a mystery to humans for quite a while. However, blockchain can be used to help in tracking the entire process from the time data of input to when the system makes a decision.

This can be done by storing the results from AI machines training sessions in the ledgers as well as the mechanisms used to calculate inferences. This would provide an avenue through which scientists can access the training sessions to come up with valuable explanations on how AIs make decisions.

Another advantage of using blockchain to record the AI decision-making process would increase transparency.

This could also increase the adoption of AI as well as improve the AI learning fields, which would lead to more accurate, trustworthy and valuable results that would benefit all the industries using AI.

Computing

Blockchain in AI

Blockchain can also benefit from AI. When mining cryptocurrencies, a lot of computing power is required to handle the chains in the block.

To solve a block in the network, one has to use hashing algorithms, i.e., in bitcoin mining, the approach used requires one to enumerate all possible outcomes of a block and then counterchecking which outcome satisfies what the block needs before verifying a transaction.

AI can help miners move away from such approaches and provide intelligent ways for mining. Machines can be taught how to use the algorithms to mine. Human intervention would only be required when feeding the machine data. 

Some companies combining the power of blockchain and AI

DeepSee: This company uses similar AI learning mechanisms to those used by Facebook. It, however, transfers the mechanisms to blockchains, which creates transparency of privacy settings while rewarding quality content generated by users.

DeepSee hopes to become a decentralized option for the existing centralized media platforms such as YouTube and Medium.

Deep Mind: This is an AI-powered company that leverages on blockchain to protect patient health records.

Longenesis: This company has partnered with Neuromation to provide people with control over their data. The company also gives the individuals the option of making money from their data by sharing it with research institutes, corporations, and hospitals.

Mind AI: This company has invented an AI-powered system that will achieve the same level of reasoning as humans. The company uses blockchain to make the thought process of the machine transparent to everyone.

Contributors to Mind AI’s open source platform are rewarded with tokens. The ontologies contributed by the community together with the AI-powered reasoning make it possible for Mind AI to reason as humans do, without needing any big data.

“Without ontologies, Mind AI is like a car without fuel. We’ve split the source code of the AI engine and the ontology database to make sure the ownership of our technology is not centralized. The ontologies will be crowdsourced and stored into a distributed storage system utilizing blockchain, and the contributors of the ontologies will be the owners of the data. The community has control of the data, gets rewarded when their data is used and has a voice in how his or her data is used.” Lee, Mind AI CEO.

Lee, Mind AI’s CEO believes that with blockchain and AI, how user data is protected can be enhanced to benefit the community:

“We believe blockchain provides the foundation for creating [sic] AI systems that are transparent, decentralized, and beneficial for many, rather than a few.”

The adoption of blockchain and AI is hurdled by factors such as the widespread use of new technology, Military applications, Business applications, Entertainment applications, and Consumer applications. Each of these applications requires massive investment IN terms of time and money, which in turn slows down the adoption of AI.

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coinmag

Kinsley is an MSc student in Information Management and a blockchain consultant. He is a lover of big data with particular interests in disruptive technologies like blockchain technology and Artificial Intelligence.

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