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This article was contributed by Deepak Gupta, co-founder of LoginRadius, tech strategist, cybersecurity innovator and author.
While Artificial Intelligence (AI) contributes greatly to improving human life, it also raises questions of reliability and reliability. However, blockchain technology can go a long way in increasing human confidence in AI-based systems.
AI is a new generation of technology where machines and information systems display a kind of intelligence that mimics human natural intelligence in its interaction with the environment. However, the success of any AI-based system depends, among other factors, on the confidence shown by the beneficiaries in AI technology. Data, modeling and analytics are the three main components of AI technology. These three key components can be decentralized using blockchain technology, and it will undoubtedly increase the level of confidence and confidence of end users in AI-based systems.
Understand the main features of blockchain technology
Obviously, blockchain technology promises to solve many problems. However, much remains to be explored as global blockchain adoption will increase significantly in the near future. According to Statista, global blockchain technology revenue is expected to grow to more than $ 39 billion by 2025.
The main features of blockchain technology that make it so popular and attractive are:
- Decentralized technology: Unlike the traditional banking system, there is no central authority to oversee the network. Transactions can be authenticated and authenticated without the help of any one ruling authority.
- Ledger: Instead of storing data in a central repository, it is synchronized, shared and recorded across different nodes in a shared infrastructure.
- Consensus based, Any transaction in a blockchain network is performed when all the relevant network nodes agree on the transaction.
- Immutability and security, In A blockchain network, once a transaction is recorded, cannot be changed by anyone at any time. In the case of blockchain, hashing is irreplaceable, which makes the technology extremely secure.
Understanding the main characteristics of artificial intelligence
Let’s talk about the main features of AI that make it unique and, if combined with the increasing adoption of blockchain, can transform the world into a better place to live. The critical features of Artificial Intelligence (AI) are:
- Adaptive: Artificial intelligence technology is highly adaptable, as it quickly adapts to the environment through progressive learning algorithms. He observes the surroundings and quickly learns how to do better.
- Data ingestion: AI is used to analyze the enormous amount of data spread across billions of records.
- Reactive: Unlike traditional applications, AI-based systems are highly responsive because they respond to changing environments. AI systems are capable of enforcing rules and procedures subject to certain conditions.
- Automation: AI systems can automate repetitive tasks without the need for human intervention. With the help of AI technology, machines can perform real human tasks.
Human Confidence in AI: Key Challenges
Stephen Hawking, one of the greatest physicists of the century, stated that “the development of a fully artificial intelligence could spell the end of the human race.”
With the advancement of technology, trust in human-technological interactions has become an important factor. In the past, people believed in technology because it worked as expected. However, the emergence of artificial intelligence solutions does not remain the same due to the following challenges:
- Openness: AI-based applications are designed to be adaptive and responsive, with their own intelligence to respond to situations. Anyone can use it for good or for bad purposes. As such, people have some reservations about trusting AI-based solutions.
- Transparency: Lack of transparency is one of the major problems affecting human trust in AI application. AI developers need to clarify how much personal data has been used and the advantages and risks of using the app to build trust.
- Privacy: AI makes data collection and analysis much easier; However, end-users are at a disadvantage, as large amounts of data collected by companies around the world can jeopardize the privacy of the user (s) whose data is being collected.
How the use of blockchain technology can increase human confidence in AI
Blockchain technology can play an important role in increasing human trust in AI-based applications by increasing transparency and trust in the following ways.
The most important challenge for AI developers is that people are always skeptical about how and when AI-based applications will use their data. Blockchain-enabled AI applications, on the other hand, will not be able to access any data without the user’s permission. Users may license their data to an AI application or provider using a blockchain ledger, subject to their terms and conditions.
Data privacy and security
The distributed form of data sharing can play a major role in reducing the trust deficit in AI applications. The data is extremely secure because there is no focal point that malicious artists can attack. In addition, distributed ledger offers more transparency and accountability of real-time data as it is available to all concerned participants.
Consensus and decision
One of the crucial features of blockchain technology is consensus-based transactions. Every decision taken needs to be agreed upon by all parties involved, and without the consent of the users it becomes extremely impossible to gain unauthorized access or tampering with the data.
Decentralization and data distribution
There is a great deal of distrust among people about data governance, including data collection, storage and use with AI. With blockchain technology, AI applications can store their data in a distributed and decentralized environment. Distributed Autonomous Organization (DAO) and smart contracts can be effectively used for data governance and distribution.
The biggest challenge in AI-based applications is how to maintain data integrity over time. In traditional applications with client-server architecture, data from the client is collected and stored on a central server. Because blockchain technology is embedded in the AI application, duplication of information is significantly avoided. Absolute transparency, traceability and accountability make data more efficient.
While AI can provide real-time analysis of enormous amounts of data, AI systems integrated with blockchain technology can provide a transparent data governance model for smart contracts and rapid recognition among various stakeholders through DAO.
Blockchain advantages can eliminate the disadvantages of AI
Implementing the advantages of blockchain technology can help overcome the various shortcomings of AI and increase public confidence in AI-based applications. With Blockchain, AI applications achieve the qualities of decentralization, distributed data governance, data immutability, transparency, security and real-time accountability. Many AI-enabled intelligent systems have been criticized for their lack of security and reliability. Blockchain technology can significantly help address security and trust loss issues significantly. There are still enormous challenges for both blockchain technology and artificial intelligence. However, when combined, they show tremendous potential and will complement each other to restore the confidence factor and greatly improve efficiency.
Deepak Gupta is a co-founder, tech strategist, cybersecurity innovator and author at LoginRadius.
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