Blockchain is one of the most dominant technologies in today’s market, and its uses are still being explored. While most consumers immediately think of financial applications, blockchain is being used in numerous ways by startups and large corporations alike. One area that has yet to be explored extensively is its potential as a facilitator of decentralized artificial intelligence (DAI).
A DAI is a type of artificial intelligence that goes beyond a traditional computer program. It can learn from experience, understand human language, make decisions, and show emotion. The technology is considered a possible next step in our evolution—it could lead to greater convenience and efficiency in our daily lives. The applications for DAI are limitless, but there are two areas where blockchain makes sense as the underlying technology: data storage and distribution, and funding for research and development.
Blockchain is a technology that has been gaining a lot of popularity, and for good reason. Blockchain’s applications are not limited to the world of cryptocurrencies—it simply offers a framework for recording transactions in a way that can be easily verified as accurate by multiple parties. In recent years, several projects have begun to harness this technology to develop new solutions—a few examples include the Bitland project in Ghana, which utilizes blockchain technology to secure land records, and BlockShoveler, which uses blockchain technology to track the use and ownership of construction equipment.
In terms of artificial intelligence, blockchain technology could be useful as a means of ensuring quality control among AI-based services. If you’re using an AI-based service whose underlying algorithms are complex and not fully understood, it’s difficult to know whether or not you’re getting the experience you paid for. Blockchain could offer a solution: you could pay for an AI service using cryptocurrency (which is built on blockchain), and the algorithm’s execution could be recorded on the blockchain so that it can be verified as having been carried out accurately. This would also allow users to verify the source code behind their chosen AI service—if they know what they’re doing but don’t want anyone else to see, they can view it on…