人工智能和区块链发展路线图讲座心得,人工智能和区块链发展路线心得体会
最近，我参加了一场关于人工智能和区块链发展路线图的讲座，从中学习到很多知识，也对这两个技术的发展前景有了更深入的了解。下面，我将根据这次讲座的内容，介绍三个关键词：智能合约、区块链应用和深度学习。
智能合约是一种利用区块链技术实现的自动执行的协议。它的最大特点是去中心化、不可篡改、不可反悔，可以被认为是一种程序化的法律协议，可以实现自动执行、自动结算等功能，可以实现资产的去中心化管理，极大地提高了交易的安全性和效率。
智能合约可以应用在各个领域，比如金融、法律、政府、医疗保健等，可以实现资产的安全性管理，可以帮助企业节省成本，提高效率，可以极大地改善企业的运营状况。
区块链应用是指利用区块链技术来实现的应用。它可以帮助企业更好地管理资产，提高效率，降低成本，并实现安全性的提升。区块链应用也可以帮助政府和企业实现更高效的数据共享，提高政府的运营效率，降低企业的运营成本。
区块链应用的发展也可以帮助政府和企业更好地实现数据共享，提高政府的运营效率，降低企业的运营成本。此外，它还可以帮助政府实现数据的安全性管理，提高政府的运营效率，改善企业的运营状况。
深度学习是一种人工智能技术，它可以帮助机器自动学习，实现自动化的任务完成。深度学习可以帮助机器自动识别、分析、处理大量数据，并从中提取出有价值的信息，可以极大地提高机器的运算效率和准确率。
深度学习可以应用在自动驾驶、计算机视觉、语音识别、自然语言处理等领域，可以帮助机器自动学习，实现自动化的任务完成，极大地提高机器的运算效率和准确率。
总之，智能合约、区块链应用和深度学习是人工智能和区块链发展路线图中的三个关键词，它们可以帮助企业节省成本，提高效率，改善企业的运营状况，实现资产的安全性管理，提高机器的运算效率和准确率。
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❶ The collection of typical blockchain application cases in Shishi in 2022 is open
Learned from the Shishi Industrial Information and Technology Bureau to accelerate the implementation of blockchain technology and promote the district Blockchain is deeply integrated with economic and social development. The Ministry of Industry and Information Technology has recently launched the collection of typical blockchain application cases in 2022. Qualified enterprises in our city are required to submit the blockchain typical application case application form and application form before September 22. Submit the electronic version of the materials to the Information Technology Department of the Municipal Industry and Information Technology Bureau.
It is understood that the collection directions for typical blockchain application cases in 2022 include: innovative technologies and products, blockchain + real economy, blockchain + people’s livelihood services, blockchain + smart cities, districts Blockchain + government services. The case reporting entity must be registered in the territory of the People's Republic of China, have independent legal person status, have good financial status in the past three years, and have no bad records in terms of quality, safety, credibility, and social responsibility. The typical blockchain application cases of the applicant should comply with the requirements of relevant national laws and regulations and relevant industrial policies, must have been implemented and achieved results, have a high technical level, obvious industry or regional characteristics and mature business models, and have strong Representative, demonstrative, innovative and generalizable, it can fully reflect the technical characteristics and applicable scenarios of blockchain, and has strong reference significance and promotion value for related industries or enterprises.
Among them: innovative technologies and products focus on key blockchain technologies such as smart contracts, consensus algorithms, encryption algorithms, and distributed systems. We are soliciting blockchain underlying technology platforms and blocks focusing on alliance chains. Chain-as-a-service platform, cross-chain advertising platform and other products, as well as typical cases of integration and innovation of new generation information technology such as privacy computing, artificial intelligence, Internet of Things, big data and so on. Blockchain + Real Economy focuses on manufacturing, agriculture, commerce and other fields, and solicits applications for blockchain in industrial Internet, supply chain management, agricultural product traceability, cross-border trade and other fields to promote the effective connection between supply and demand in various industries and reduce loan financing for small and medium-sized enterprises. Threshold, explore typical cases of innovative development of digital economy. Blockchain + people's livelihood services focus on education, employment, elderly care, targeted poverty alleviation, medical health, commodity anti-counterfeiting, food safety, public welfare, social assistance and other fields, and solicit applications for blockchain in degree certificate management, medical data sharing, cold chain traceability Typical cases of such scenarios. Blockchain + Smart City focuses on the field of smart cities and collects typical cases that apply blockchain to smart governance, urban brain, digital epidemic prevention, urban emergency management, grassroots community services and other scenarios to effectively improve the level of intelligent and precise urban management. . Blockchain + Government Services focuses on the field of government services and collects typical cases of applying blockchain to government data sharing, electronic certificates and other scenarios to help build smart governments. Focusing on the judicial field, we collect typical cases that apply blockchain to electronic evidence preservation, judgment document execution and other scenarios to assist the construction of smart justice.
❷ Internet of Things, blockchain and artificial intelligence applications are interrelated
Between business and technologyThe connection between them is very close, and every time technology develops, the business economy will be affected. Three emerging technologies are an important part of the business world: the Internet of Things, blockchain and artificial intelligence. Whenever a new technology is launched companies start to reveal its potential to improve existing business models.
Cutting-edge technologies such as blockchain may provide technical support for solving the pain points of copyright disputes and help the high-quality development of the copyright industry. At present, the main resistance encountered in the development, management and commercial realization of copyright is that it is difficult to determine copyright ownership. "Transportation" and plagiarism are common phenomena. The realization mechanism of copyright operation still needs to be further improved.
In the digital era, the widespread application of electronic seals has played an important role in improving the operational efficiency of government and enterprises. However, electronic seals also face the problem of data tampering and difficulty in mutual recognition of information. Blockchain technology has become a solution. A large number of "blockchain + seal" platform applications have emerged for a while.
Smart contract technology represented by blockchain can effectively promote collaboration among all parties in the industry chain. Participants such as copyright content parties, secondary creators, merchants (authorized parties), and service providers who communicate and trade point-to-point in the industry chain can instantly complete in-depth cooperation through the smart contract technology of the blockchain.
Copyrighted content parties can also use NFT and other related blockchain technologies to convert creators’ digital content into digital goods faster. Blockchain technology decentralizes databases so that everyone can access the data, which can help them recall information without spending a lot of time and effort.
Artificial intelligence, blockchain and the Internet of Things are three technologies that are changing the world. They are proven to offer better opportunities in core business and building capabilities.
BTC
I often wonder why people live and what is going on in this life. Where to go? Everything in the world has a destiny and its own mission. The fate of all living beings and the fate of me as an individual, as big as China or as small as Chengdu, has its own destiny, so the fate of an individual is entangled in the torrent of fate, ebbing and flowing, ups and downs.
Finally: Although the current atmosphere of the currency circle is sluggish, it cannot be regarded as hopeless. Even if the situation is declining, everything is quiet
< p>#digital currency# #BTC[超话]# #欧易OKEx#
❸ What is the relationship between artificial intelligence and blockchain?
In recent years Blockchain and artificial intelligence have always been very popular
First of all, blockchain is the establishment of a decentralized network. The so-called decentralization means that this network does not belong to you nor to me.
It belongs to everyone.
Artificial intelligence refers to research and development for simulation,A new technical science that extends and expands the theories, methods, technologies and application systems of human intelligence. In other words, "machine self-learning"
In this way, we can think about the combination of blockchain and artificial intelligence.
First of all, we need to understand that blockchain can currently be simply divided into three stages.
In the first three stages, there are problems: the inability to truly achieve decentralization, low scalability, incentives for block producers and the best of the entire network. Problems such as revenue mismatch and the network always running at maximum capacity. A serious waste of resources and reduced efficiency.
So can we combine artificial intelligence into the underlying public chain technology to solve these problems?
The answer is yes! And there is already a team developing it and has made certain progress.
Velas is a public chain that uses artificial intelligence (AI) optimized neural networks to enhance its consensus algorithm, perform self-learning and self-optimization, and is committed to improving the security and interoperability of the transfer process and smart contracts. flexibility, and high scalability. Velas uses AI-enhanced DPoS consensus to achieve complete decentralization without reducing security and transaction speed. Not only that, AI chooses who to mortgage tokens based on the needs of the blockchain; Velas only produces blocks when needed; between every 1 second and every 2 minutes; scalability (scalable to 30,000 TPS); block producers are selected through artificial intuition.
❹ Quantum computing, artificial intelligence and blockchain
Quantum computing, artificial intelligence and blockchain
The next 5 to 10 years will be a new round of global technology It is a critical period when revolution and industrial change are ready to explode. With the rapid development of a new round of global technological revolution, disruptive technological innovations are surging, the most eye-catching of which include quantum computing, artificial intelligence and blockchain. Are there any connections between these disruptive technologies and traditional Chinese culture? How does it relate to basic science (e.g. mathematics, physics)? How to objectively understand these cutting-edge technologies? This special issue publishes a report by Zhang Shousheng, an American theoretical physicist and foreign academician of the Chinese Academy of Sciences, who won the International Science and Technology Cooperation Award of the People's Republic of China in January 2018.
Currently, quantum computing, artificial intelligence and blockchain are the three most important basic technologies in the entire information technology industry. In the future, if information technology is to truly develop by leaps and bounds, we must pay attention to basic science, which requires both physics and mathematics, because physics and mathematics are closely related to the information technology revolution.
The discovery of “angel particles” has changed the dilemma of quantum computer research and development
Before talking about quantum computing, let’s first talk about the scientific discovery story related to “angel particles”. Many interesting modern sciences found that they are all related to changes in philosophical concepts, including those deep-rooted ancient philosophical concepts of the Chinese nation. For example, it seems that the world has always been a world of opposites between positive and negative. If there are positive numbers, there must be negative numbers. If there are yin, there must be yang. If there is good, there must be evil. This opposing view of the world is also present in the physical world of elementary particles.
There was a very great theoretical physicist Dirac in history. He unified Einstein's special theory of relativity and quantum mechanics. In the process of unification, he performed a very simple mathematical operation and opened the A square root. When opening the root sign, there will always be two solutions, positive and negative. Most people may only care about the "positive solution" and not the "negative solution". Dirac explained the "negative solution" as all particles must have antiparticles, and predicted that all particles must have antiparticles.
In 1928, antiparticles were not discovered in the physics community, and everyone raised great doubts about him, saying that his equations were definitely wrong. He insisted that his equation was correct. Five years later, he was very lucky. Sure enough, in the rays of cosmic radiation, physicists found the antiparticle of the electron, which is the positron, and named it the Dirac sea.
Since then, elementary particle physics has found protons and antiprotons, neutrons and antineutrons, and they have been applied. For example, positrons have been widely used in the medical field. There is a medical test called PET, which uses positrons and negative electrons to produce images. To detect Alzheimer's disease, the best way is to do PET.
Today, Chinese people are very concerned about scientific development. What is the biggest driving force for scientific development? I think it's curiosity about life. Theoretical physicists in history, such as Newton, discovered gravity when an apple fell under an apple tree and inspired him. When Einstein was riding in an elevator, he felt that the up and down movements of the elevator were very similar to the effects of gravity, thus creating the great theory of general relativity.
In addition, the development of science should not be superstitious about authority. After Dirac became a very famous theoretical physicist, scientists firmly believed that if there are particles in the world, there must be antiparticles. But another great theoretical physicist, Majorana, out of curiosity, asked whether there are some particles in the world that do not have antiparticles? He invented the Majorana equation, which wonderfully describes a particle that has no antiparticle, or that is itself its own antiparticle.
Later, the entire physics community was looking for the two coveted particles. One particle was called the "God Particle", which was found in an accelerator in Europe in 2012. The physicist Higgs who predicted it won the Nobel Prize. , and the other one is "Majorana fermion".
I work in theoretical physics, and the job of a theoretical physicist is generally to make predictions for experimental physicists to test. In 2010, my experimental group predicted that Majorana fermions could be found in a combined device. But we still need to find a signal that proves the existence of such a particle.
One day I thought that the Majorana particle had only one side and no opposite, so in a sense it was half the size of a normal particle. Our theory group has done a lotBold prediction: Since the Majorana particle is different from ordinary particles, in a sense it is only half the size of ordinary particles. Therefore, its conductivity will be different. Usually the conductivity of particles is an integer multiple of 0, 1, 2, and 3, which will inevitably lead to a conductivity step that is a half-integer multiple. We predict it will have a step of 0.5 or 1/2. Later, our theoretical group worked closely with the experimental group and made experimental observations. Indeed, at 0.5, you can see that it is the original pattern of the experiment. A step appeared at 0.5, proving that Majorana The existence of fermions. We named it "Angel Particle" and everyone liked the name very much.
What is the relationship between “angel particles” and the development of information technology?
Currently computers have been divided into two categories, classical computers and quantum computers. Some problems are easy to solve by classical computers, such as multiplying two large numbers. Classic computers can calculate very quickly. But see if a number can be divided into the product of two other numbers. For example, 15 can be written as 3 times 5. If the number is relatively small, you can also calculate it yourself. But if you are given a very large number, it would take a long time for a classic computer to calculate whether the number is the product of two numbers, because the algorithm it uses is an exhaustive method, which divides all numbers that may be divided into one. After dividing the two numbers, you can finally confirm whether this is the product of two numbers. Classical computers are very slow to calculate.
Classical computers can only use exhaustive methods to finally calculate an answer. But the quantum world is a very magical world, a parallel world. For example, in a famous experiment, if I release a particle, such as a photon, it has two holes, either on the left or on the right. But there is an authentic parallelism in the quantum world. A basic particle passes through two holes at the same time at a certain moment. If it is either left or right, the image is not the displayed image.
The quantum world itself is parallel. If you use the quantum world to do calculations, you can calculate in seconds and calculate all possibilities at once, because the quantum world has its original parallelism, which is the most basic concept of quantum computing. But it is very difficult to actually build this quantum computer. For example, the most basic unit of a classical computer is the bit, which means that information is either 0 or 1. All information can be expressed with 0 or 1. This is classical Computer concept. But in the quantum world, a particle passes through the left hole and the right hole at the same time, and is in a certain state of superposition. A qubit cannot tell whether it is 0 or 1. It is in a state of superposition of 0 and 1. Let’s listen to an analogy: Schrödinger’s cat is in a superposition of dead and alive. This is a very wonderful phenomenon. But because of this basic phenomenon, it means that a quantum bit itself is unstable. If you look around, you will know that it is either on the left, or on the right, or 0, or 1, whatever. A piece of noise will cause great interference to the qubit.
Recently, quantum computers have become something of special concern to famous companies around the world and the United States.In the West, Google, Microsoft, IBM, and Intel are all making investments, but they cannot fundamentally solve this problem, because one qubit is very unstable. If one day we are told that we have made 50 qubits, the key problem is that it is useful. How many bits are there? If there is only one useful bit, often 10, 20 or even 40 or 50 error correction bits are needed to serve it under this quantum computing framework, making quantum computing difficult to truly realize.
But the discovery of angel particles has fundamentally changed the dilemma of quantum computer research and development. This is a process from quantitative change to qualitative change. The qubit itself has the ability to correct errors, which is how I usually split a qubit into two angel particles. Normal particles have two sides, but angel particles have only one side, so angel particles are usually only half of a particle. So usually one qubit can use two angel particles to store it. Once two particles are used to store it, they are in a distant place and they are entangled with each other. In the classical world, noises are not entangled with each other. In this way, noise cannot be used to destroy the quanta stored by angel particles, so this is a revolutionary change.
So, I gave a speech at the American Physical Society not long ago, saying that angel particles are an exciting discovery. They can be used to make quantum computers with as many bits as they need. There is no need for additional error correction bits and it has its own error correction function. This will play a rapid role in the development of quantum computers.
The day robots can make scientific discoveries, that day intelligent machines will surpass humans
As a basic concept, artificial intelligence has been proposed in the 1960s. Today's artificial intelligence can develop by leaps and bounds, mainly due to the summary of many new technologies. According to the iteration of Moore's Law, it can double every 18 months. If you use quantum computing, it will not just double Moore's Law every 18 months, but completely change from quantitative to qualitative change. Human computing power has continued to grow over the years. The birth of the Internet and the Internet of Things has generated a large amount of data. Intelligent algorithms are changing by leaps and bounds. Big data can help machines learn. However, the basis of artificial intelligence is all kinds of data. No matter how good the algorithm is, no matter how powerful the computer is, it cannot become artificial intelligence without data.
Artificial intelligence, although I can see that it is advancing by leaps and bounds, I feel that it is still in its very early stages. Why do you say this? To make a simple analogy, for example, we once saw birds flying, and people also wanted to fly very much. However, in the early days, learning to fly was just simple bionics. Tie wings on human arms. This is simple bionics, but the real state of flying is Since humans have understood the first principle of flight - aerodynamics, and with the physical principles and mathematical equations, they can design the best aircraft. Today's aircraft fly high, fast and well, but they are not like birds. , this is a very core point.
Most of the current artificial intelligence is simply imitating human neurons, but what we should think more about is that there is an opportunity for a major breakthrough in basic science.We must truly understand that wisdom and the basic principles of intelligence, so that we can truly make fundamental changes in artificial intelligence.
What kind of basis can we use to truly measure artificial intelligence’s ability to meet human standards? Some people may have heard of the Turing test. The Turing test means that a person talks to a machine, but it is not known whether the other person is a person or a machine. During the entire conversation, if you spend a day and can’t feel it at all, it means that the robot seems to have reached the level of a human. Although Turing was a great computer scientist, I do not agree with this method of judgment. Many human emotions are not rational emotions. It may not be easy for a rational machine to learn from the brain of an irrational human.
So I would like to propose a new judgment method. When will intelligent robots truly have intelligence that surpasses humans? I think the greatest thing about human beings is that we can make scientific discoveries. One day robots can really make scientific discoveries, that day machines will surpass humans.
Recently I wrote an article on artificial intelligence, which will be published in the Journal of the American Academy of Sciences. It will be mentioned in the article that the greatest scientific discoveries of mankind include relativity, quantum mechanics, etc., and are the greatest in chemistry. The discovery was the discovery of the periodic table of elements. Can an intelligent machine automatically discover the periodic table of elements without any guidance? Can it help humans discover new drugs? Can machine learning be used to discover new materials? These are the criteria for judging the level of artificial intelligence.
To realize the coexistence and development of blockchain and artificial intelligence, they will be the most valuable
In today’s world, individuals will generate a lot of data, including personal genetic data, medical data, Educational data, behavioral data, etc. are particularly needed for the development of artificial intelligence. A lot of data is held in central institutions and has not achieved true decentralization. The emergence of blockchain can create a decentralized data market.
I describe the entire concept of blockchain in one sentence, called "In Math we trust". This concept is based on mathematics. The most basic thing in the entire blockchain and the entire information technology field is basic mathematics, which can protect personal privacy in the data market and make reasonable statistical calculations. For example, there is a very magical calculation method called zero-knowledge proof, which can prove to you that my data is very valuable, but it does not tell you where the truly private data is.
With blockchain, the data market can make society more equitable. The biggest injustice in modern society is that people tend to discriminate against some minorities. But what is most needed in the machine learning process is the data owned by the minority. If the accuracy of machine learning reaches 90% today, and increases from 90% to 99%, what it needs is not the data that has been learned, but different data from before. It is often a small amount of data that is most valuable for machine learning. Once our data is built on the basis of the blockchain, coupled with these wonderful mathematical algorithms, we can have a healthy data market. In this world, the concept of blockchain and artificial intelligence coexisting with each other will be the most valuable.
As for the entire blockchain, the public’s understanding of it is not the most fundamental first-principles understanding. In terms of the most basic physics principles, reaching a consensus is like everyone agreeing on the same "ledger". It is equivalent to that in physics, magnets are originally messy, but in the ferromagnetic state they all point in the same direction. of.
Achieving consensus also occurs in the natural world. This phenomenon is called entropy reduction. Reaching a consensus, if everyone is moving in the same direction, the entropy of this state is far smaller than the entropy of chaos. Reaching this consensus is very difficult because entropy is always increasing.
Achieving a consensus system on the blockchain uses an algorithm, which requires energy consumption. This thing sounds unreasonable, why does the account consume energy, but from the second theorem of physics, this is a very reasonable thing, because reaching a consensus itself is a decrease in entropy, but the entropy of the entire world must increase. Therefore, while reaching a consensus, other entropy must be eliminated. This non-centralized mechanism is very similar to the natural world where magnets change from a chaotic state to an ordered ferromagnetic state. It is also an inevitable trend to consume energy and pay a price.
So the ideal information world is that in the future everyone will have all their own data and it will be stored in a completely decentralized manner, so that hackers will not be able to hack everyone's data. Then using some encrypted algorithms on the blockchain can truly protect personal privacy and make good calculations, and things like the theft of many personal data in Facebook will not happen.
The problems we have to solve today in quantum computing, artificial intelligence, and blockchain technology are all problems for mankind. Chinese scientists will face great opportunities. In addition to doing a good job in applied technology, they should also have real Original basic scientific breakthroughs, such as the physical and mathematical principles introduced above, although these things sound relatively abstract, such as the principle of entropy increase, positrons and negative electrons. The wonder of the world lies in the fact that basic science can provide broad new development prospects for the entire information technology industry.
❺ Blockchain and Artificial Intelligence: A Perfect Match
01Blockchain and artificial intelligence are two of the hottest technology trends at the moment. Although the two technologies have highly different developers and applications, researchers have been discussing and exploring their combination.
PwC predicts that artificial intelligence will add $15.7 trillion to the world economy by 2030, so global GDP will grow by 14%. According to Gartner's forecast, the business value brought by blockchain technology will increase to US$3.1 trillion in the same year.
By definition, a blockchain is a distributed, decentralized, immutable ledger used to store encrypted data. Artificial intelligence, on the other hand, is the engine or “big"brain" that can analyze and make decisions from the data collected.
It goes without saying that each technology has its own level of complexity, but both artificial intelligence and blockchain are in a position to benefit from each other, A situation where they help each other.
Since both technologies can influence and implement data in different ways, their combination makes sense and can take data utilization to the next 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 enable Artificial intelligence is more coherent and easy to understand, and we can trace and determine why decisions are made in machine learning. Blockchain and its ledger can record all the data and variables used to make decisions under machine learning.
< p> Furthermore, AI can make blockchains more efficient than humans. This can be proven by looking at the way blockchains are currently run on standard computers, which require a lot of processing power even for basic tasks .Intelligent computing power
If you want to run a blockchain and all its encrypted data on a computer, you need a lot of processing power. For example, the hashes used to mine Bitcoin The algorithm takes a "brute force" approach by systematically enumerating all possible candidates for a solution and checking whether each candidate satisfies the problem statement before validating the transaction.
Artificial intelligence provides us with an opportunity , let's get out of this dilemma and handle the task in a more intelligent and efficient way. Imagine a machine learning based algorithm that can actually improve its skills "in real time" if given the proper training data.
Create diverse data sets
Unlike artificial intelligence-based projects, blockchain technology creates a decentralized, transparent network where anyone around the world can Access these networks in a chain public network environment. Although blockchain technology is the ledger of cryptocurrency, blockchain networks are now being used in many industries to achieve decentralization. For example, Singuarlitiynet is particularly focused on leveraging blockchain technology Encourage wider distribution of data and algorithms to help ensure the future development of artificial intelligence and the creation of "decentralized artificial intelligence."
SingularityNET combines blockchain and artificial intelligence to create smarter, decentralized artificial intelligence A smart blockchain network can host different data sets. By creating an application programming interface on the blockchain, it will allow mutual communication between artificial intelligence agents. Therefore, different algorithms can be built on different data sets.< /p>
Data Protection
The development of artificial intelligence relies entirely on data input - our data. Artificial intelligence receives information about the world and what is happening in the world through data. Basically, data is the source of AI, and through it, AI will be able to continuously improve itself.
Blockchain, on the other hand, is essentially a technology that allows data to be stored encrypted on a distributed ledger. It allows the creation of fully secure databases that can be viewed by approved parties. When blockchain and artificial intelligence are combined, we have a backup system for backing up an individual’s sensitive and high-value personal data.
Medical or financial data is too sensitive to be handed over to a company and its algorithms. This data is stored on a blockchain that can be accessed by artificial intelligence, but only with permission and through appropriate procedures, to provide us with personalized recommendations while safely storing sensitive data.
Data Monetization
Another disruptive innovation that may come from combining these two technologies is data monetization. For big companies like Facebook and Google, monetizing the data they collect is a huge revenue stream.
Letting others decide how data is sold to generate profits for businesses shows that data is being commercialized, and to our detriment. Blockchain allows us to cryptographically protect our data and use it however we see fit. This also allows us to personally monetize the data if we choose, without compromising our personal information.
The same goes for artificial intelligence programs that need our data. In order to learn and develop AI algorithms, AI networks will be required to purchase data directly from their creators through data marketplaces. This would make the entire process fairer than it is now, and no tech giants can take advantage of its users.
Such a data market will also be open to small companies. Developing and delivering AI is prohibitively expensive for companies that don't generate their own data. Through decentralized data markets, they will be able to access data that would otherwise be too expensive and kept privately.
Trusting AI Decisions
As AI algorithms become smarter through learning, it will become increasingly difficult for data scientists to understand how these programs arrive at specific conclusions and decisions. This is because AI algorithms will be able to process incredibly large amounts of data and variables. However, we must continue to review the conclusions drawn by AI because we want to ensure they still reflect reality.
By using blockchain technology, all data, variables and processes used by artificial intelligence in decision-making have an immutable record. This makes the entire process of auditing much easier.
With appropriate blockchain procedures, all steps from data input to conclusion can be observed, and the observing party will ensure that thisThese data have not been tampered with, which allows people to trust the conclusions drawn by artificial intelligence. This is a necessary step because individuals and companies won’t start using AI applications if they don’t understand their capabilities and the information underlying their decisions.
The combination of blockchain technology and artificial intelligence remains a largely undiscovered area. Although the fusion of these two technologies has received considerable academic attention, there are still few projects dedicated to this groundbreaking combination.
Combining these two technologies has the potential to use data in ways never before possible. Data is a key element in developing and enhancing AI algorithms, and blockchain protects this data, allowing us to audit all the intermediate steps by which AI draws conclusions from the data, and allows individuals to monetize the data it generates.
Artificial intelligence can be incredibly revolutionary, but it must be designed with extreme care—and blockchain can help a lot with that. How the interplay between these two technologies will develop is anyone’s guess, however, its true potential for disruption is clearly present and developing rapidly.
