PricewaterhouseCoopers predicts that by 2030, artificial intelligence will increase the world economy by 15.7 trillion US dollars, so the global GDP will increase by 14%. According to Gartner's forecast, the commercial value brought by blockchain technology will increase to 3. 1 trillion dollars in the same year.
By definition, blockchain is a distributed, decentralized and immutable ledger for storing encrypted data. On the other hand, is artificial intelligence an engine or? Brain? , you can analyze and make decisions based on the collected data.
It goes without saying that each technology has its own complexity, but both artificial intelligence and blockchain can benefit and help each other.
Because these two technologies can affect and realize data in different ways, their combination is meaningful and can raise the utilization rate of data to a new level. At the same time, integrating machine learning and artificial intelligence into blockchain, and vice versa, can enhance the infrastructure of blockchain and enhance the potential of artificial intelligence.
In addition, blockchain can also make artificial intelligence more coherent and easy to understand, and we can track and determine why decisions should be made in machine learning. Blockchain and its account book can record all the data and variables that make decisions under machine learning.
In addition, artificial intelligence can improve the efficiency of blockchain more than humans. Looking at the current way of running blockchain on standard computers, we can prove this. Even basic tasks require a lot of processing power.
Intelligent computing ability
If you want to run the blockchain and all its encrypted data on your computer, you need powerful processing power. For example, a hash algorithm used to mine bitcoin is adopted? Powerful? Method, that is, before verifying the transaction, systematically enumerate all possible candidates of the solution and check whether each candidate meets the problem statement.
Artificial intelligence provides us with an opportunity to get rid of this dilemma and deal with tasks in a smarter and more efficient way. Imagine an algorithm based on machine learning. If you give it proper training data, it can actually? Real time? Effectively improve their skills.
Create diverse data sets
Different from projects based on artificial intelligence, blockchain technology creates decentralized and transparent networks, which anyone in the world can access in the blockchain public network environment. Although blockchain technology is the account book of cryptocurrency, blockchain network is now being applied to many industries to achieve decentralization. For example, Singuarlitiynet is particularly focused on using blockchain technology to encourage the wider distribution of data and algorithms and help ensure the future development of artificial intelligence. Decentralized artificial intelligence? The creation of.
SingularityNET combines blockchain and artificial intelligence to create a more intelligent and decentralized artificial intelligence blockchain network, which can host different data sets. By creating an application programming interface in the blockchain, it will allow communication between artificial intelligence agents. Therefore, different algorithms can be built on different data sets.
data protection
The development of artificial intelligence depends entirely on the input of data? Our data. Artificial intelligence receives information about the world and what is happening in the world through data. Basically, data is the source of artificial intelligence, through which artificial intelligence will be able to constantly improve itself.
On the other hand, blockchain is essentially a technology that allows encrypted storage of data on distributed classified accounts. It allows the creation of a completely secure database that can be viewed by the approver. When blockchain and artificial intelligence are combined, we have a backup system for backing up sensitive and high-value personal data.
Medical or financial data is too sensitive to be handed over to a company and its algorithm. Store these data in the blockchain that artificial intelligence can access, but only after obtaining permission and passing appropriate procedures can we provide personalized suggestions while safely storing sensitive data.
Data monetization
Another disruptive innovation that may be brought by the combination of these two technologies is data monetization. For big companies such as Facebook and Google, making money from collected data is a huge source of income.
It is not good for us to let others decide how to sell data in order to create profits for enterprises, which shows that data is being commercialized. Blockchain allows us to encrypt and protect our data and use it in the way we think fit. If we want, this can also allow us to monetize data without damaging personal information.
The same applies to artificial intelligence programs that need our data. In order to learn and develop artificial intelligence algorithms, artificial intelligence networks will be required to purchase data directly from their founders through the data market. This will make the whole process fairer than it is now, and no technology giant can take advantage of its users.
Such a data market will also be open to small companies. For companies that don't generate their own data, it is very expensive to develop and provide artificial intelligence. Through the decentralized data market, they will be able to access other data that are too expensive and privately kept.
Trust artificial intelligence decision-making
As artificial intelligence algorithms become more and more intelligent through learning, it will become more and more difficult for data scientists to understand how these programs draw specific conclusions and decisions. This is because artificial intelligence algorithms will be able to handle incredibly large amounts of data and variables. However, we must continue to review the conclusions drawn by artificial intelligence, because we want to ensure that they still reflect reality.
By using blockchain technology, all data, variables and processes used by artificial intelligence in the decision-making process have unchangeable records. This makes it easier to audit the whole process.
Through the appropriate blockchain program, all steps from data input to conclusion can be observed, and observers will ensure that these data have not been tampered with, which makes people believe the conclusions drawn by artificial intelligence. This is a necessary step, because individuals and companies will not start using artificial intelligence applications if they don't know the basic information of the functions and decisions of artificial intelligence applications.
The combination of blockchain technology and artificial intelligence is still a largely undiscovered field. Although the integration of these two technologies has attracted considerable academic attention, there are still few projects devoted to this breakthrough combination.
The combination of these two technologies makes it possible to use data in an unprecedented way. Data is a key element in developing and enhancing artificial intelligence algorithms. Blockchain protects these data, allows us to audit all intermediate steps of artificial intelligence drawing conclusions from data, and allows individuals to monetize the data they generate.
Artificial intelligence may be incredibly revolutionary, but its design must be extremely cautious? Blockchain can be of great help to this. No one can say for sure how the interaction between these two technologies will develop. However, its real subversive potential obviously exists and is developing rapidly.