AI contributes significantly to the improvement of human life. However, it also raises a lot of questions about credibility. Blockchain technology can boost human trust in AI processes. AI is a new generation of technology where systems display information that simulates natural human intelligence about the environment. However, the success of any AI-based system depends on the reliability of the technology, among other factors. The three main components of AI technology are data, models, and analytics. These three key components can be decentralized using blockchain technology. This will undoubtedly increase end-user confidence levels in AI-based systems.
It looks that blockchain technology assures to solve many issues. Yet, much remains to be marked; Global blockchain adoption will increase significantly in the future. Revenue from global blockchain technology should reach more than $39 billion by 2025. The main features of blockchain technology that make it attractive are:
Decentralized technology: Transaction authentication can be done without the help of any governing power.
Distributed books: Data is synchronized, shared and stored at various nodes in the shared infrastructure.
Consensus-based: Transactions in a blockchain will be completed when all applicable network nodes allow the process.
Security: In a blockchain network, no one can change it at any time after recording a transaction. Hashing is irreversible in the case of blockchain, which makes the technology extremely secure.
Characteristics of AI
With the increasing acceptance of blockchain, artificial intelligence can change the world and improve it. The main features of AI are:
Adaptive: Artificial intelligence technology is adaptable. It immediately adapts to the climate through a reformist learning algorithm.
Data Swallowing: AI is used to analyze vast amounts of data.
Reactive: Unlike regular apps, AI-based platforms are highly reactive. They respond to changing environments. Under certain conditions, AI systems can use procedures and rules.
Automation: AI systems can automate repetitive tasks without human intervention. Machines can perform actual human tasks.
Trust in AI
With the advancement of technology, trust has become an essential factor for people and technology. In the past, people trusted technology because it worked the way it was expected to. However, because of the challenges, it all changes.
Openness: AI-based applications are designed to be responsive and adaptable. Anyone can use it for positive or harmful purposes. So, people have some doubts about believing in AI-based solutions.
Transparency: One of the most critical issues affecting human confidence in artificial intelligence applications is the lack of transparency. The creators of artificial intelligence must figure out the amount of personal data used and apply all the levers to increase trust.
Confidentiality: AI has made data collection and analysis much easier; However, companies collecting vast amounts of data in the world can endanger user privacy.
Building Trust
Blockchain technology can play a crucial part in growing human trust in AI-based apps. One of the huge challenges for AI developers is that humans always doubt how and when AI-based apps will use their data. On the other hand, no one will access the data in the AI applications running on the blockchain without the user’s permission. Users can license their data for an artificial intelligence app, subject to their terms.
Distributed forms of data sharing can significantly reduce trust in artificial intelligence applications. One of the essential features of blockchain technology is consensus-based transactions. AI applications can store their data in a decentralized environment with blockchain technology. One of the biggest challenges in AI-based applications is maintaining data integrity over time. With Blockchain technology fixed in AI apps, data duplication is significantly avoidable.
Although AI can provide a vast amount of real-time data analysis; The system, together with blockchain technology, can offer a transparent data management model between different stakeholders. Utilizing blockchain technology’s benefits can help address gaps in artificial intelligence and help increase people’s confidence in AI-based applications.
