Artificial intelligence is constantly increasing its presence in almost all industries, including research, education, finance, and even automation. However, despite the continuous improvement of artificial intelligence, there remains a problem with the level of trust people are willing to put into AI systems, namely, reliability. Artificial intelligence systems are capable of providing confident but potentially incorrect information, as they are not always capable of providing accurate information.
This problem is what Mira Network aims to solve, as they do not rely on the assumption of the correctness of artificial intelligence but instead try to verify the information given by the AI systems, as every answer given by the AI system is considered a claim to be verified, complex answers are broken down into smaller statements, which are then sent to a network of AI systems and validators to review the information given from different points of view.
With this decentralized mechanism of consensus, the network is able to determine the reliability of the claims. If the majority agrees on the information provided, then the claim is deemed verified. If there are discrepancies in the information provided by the validators, then the output is marked for further analysis. This mechanism eliminates the possibility of relying on a single model that could be biased and inaccurate.
The use of blockchain technology in the infrastructure is also very important. Mira makes use of the technology in such a way that the verification activities are recorded on the blockchain. This provides transparency in the way the conclusions and results provided by the AI are being evaluated.
However, there are also challenges in the development of the decentralized network. The decentralized network must be able to provide incentives for the honest participation in the network and prevent any form of manipulation and collusion.
However, creating such a decentralized network of verification also poses its own set of issues. There is a need to ensure that incentives are provided to encourage honest participation in the network, at the same time preventing any manipulation or collusion of the validators themselves.
Despite all these issues, verification networks such as Mira are also an important move toward making AI systems more trustworthy. The project aims to create a future where artificial intelligence is not just powerful but also trustworthy and reliable$MIRA
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