Blockchain’s Role in Building Trust in AI

AI (Artificial Intelligence) has been progressing at a steady rate, but it has come under fire for the lack of transparency behind its programming. In the past few years, however, we’ve seen a wave of AI-powered services that are transparent and verifiable, meaning that users can trust that they are getting what they want. There is, of course, a balance to be struck, and researchers are considering ways to improve it. One of the most notable examples lies in blockchain technology, which is designed to trace any transaction that is made.

Understanding Blockchain:

Blockchain is forecast to grow by 67 billion dollars by 2026. Blockchain allows digital information to be distributed but not copied or modified. In other words, it is a database that can be updated by multiple parties. The technology has been used in various industries including the financial sector and has recently made its way into the AI industry.

The blockchain is a decentralized peer-to-peer network.

It is a distributed database that is stored on many computers across the world. It is a public ledger of all transactions that have ever occurred. It is a tool for everyone to participate.

 Limitations of AI:

Understanding the problem with AI starts with examining the current state of technology.

Data that is accurate and secure

Thousands of AI algorithms have been developed to date. The problem is that most of them are designed to only learn from the data that they are given. This means that an AI system can only become as intelligent as the information that it is fed. Also, these systems are not designed with the ability to learn on their own. As a result, they must be retrained with new data to improve their jobs. You can always foresee what the AI system will require, so this process is imperfect.

Current AI Systems are Not Transparent

Blockchain can be used in the AI system to ensure transparency and to prevent bias in the AI system. This decentralized, digital ledger can be used to improve security, privacy, and transparency. For example, if a self-driving car’s AI system has been programmed in a biased way against a certain race or gender, then blockchain could be used to see what the AI system had been taught and therefore to fix any bias in the system.

The Way Forward  

It’s possible that one day, a need for blockchain is going to surface. But only when AI grows more sophisticated and is programmed to be able to make its own choices through learning after initially being fed a set of data and how it should react in different situations.

Ideally, AI would implement its established learning process and use it to handle tasks, but if anything goes wrong, blockchain technology helps audit how it operates by tracking whether the right decision was made or not, thus verifying the AI’s trustworthiness.