The world is changing with the impact of Artificial
Intelligence. Creation of content to the help of Artificial Intelligence has
begun to affect all that is in the world. Since content creation up to
assisting in life-saving processes in medical care, banking, and legal
services, AI is ever-expanding. The enormous capability of AI to process vast
quantities of data as well as to produce outputs at an incredible speed creates
new and unbelievable opportunities to innovate. Although the capabilities are
really impressive its capabilities still have some issues with AI. The thing is
that even the most advanced systems may have some errors, distort the findings
or even fantasize the erroneous information. It is especially detrimental when
AI is applied in critical applications where the accuracy of the functionality
cannot be jeopardized.
It can be dangerous to use one AI model. Any model is not
perfect and mistakes are inevitable. They can be caused by the insufficiency of
the training information or the effect of the bias of the algorithm or due to
the fact that certain new situations were observed which were not included in
the experience of that very model. In such spheres as healthcare or finance
when the stakes of the situation are high even a small error may lead to
serious consequences. The solution that developers and organizations need, is
one that will ensure properness of AI outputs, as well as confidence.
The key use of @Mira - Trust Layer of AI is the next one. Luckily, Mira
Network is a solution to that issue. It is a decentralized verifying protocol
that directly deals with the problem of trust of the AI when it is reused.
Although AI-generated content is exchanged in place of relying on a single
model or central authority, Mira transforms AI-generated content into
cryptographically verifiable claims. The latter are subsequently checked with a
network of AI nodes, and only data that gets a trustless consensus can be seen
as a reliable source.
The main benefits of the decentralized approach that were mentioned above are two. The first is the one concerning the
minimization of the mistakes introduced by prejudice or delusions. When we
compare to any single AI that might be inaccurate, the system cross-checks the
results of its system in several independent nodes in order to screen them out.
Second, it eliminates reliance on centralized powers developing a distrustful
atmosphere where verification is objective and transparent. Mira is a mixture
of this technical solution and economic incentives: nodes which verify
correctly receive rewards and dishonest or lazy nodes are penalized. This would
ensure that the sincerity is not merely promoted but is also cost effective
standpoint to participate in such actions.
Mira is also able to secure privacy besides verification. The data of a candidate is cut into smaller claims and these aredistributed among the nodes and none of the nodes receives the entire information. This aspect enables the verification process and privacy of theclients to be safe hence it fits the requirements of areas where confidentiality must be followed.
Mira learns the decentralized verification, cryptographic verifications, economical incentives and also the privacy by design which makes her build a strong AI trust network. Users will no longer be wondering whether an AI output is correct or not, they will know. It is under such confidence that companies can roll out AI in the mission critical systems, developers can make such products and lastly the society can trust self governing AI systems.
Fact-checking in the context of the era of rapidly evolving AI technology is no longer something to be discussed as a prerequisite. Mira clarifies that tomorrow AI will not be merely more intelligent algorithms but also checked intelligence that can be trusted upon. With the help of mira network, $MIRA , and #Mira compared to the past, the result of AI does not necessarily depend on its accuracy it is proven, secured, and reliable so that it creates a new level of AI-dependability. its accuracy it is proven, secured, and reliable so that it creates a new level of AI-dependability.
#mira
