A blockchain database can be employed as a digital rights management scheme, enabling the data to be ‘authorized’ to the AI provider on the terms, conditions, and duration.
FREMONT, CA: Today, artificial intelligence is a centralized mechanism for all needs and purposes. The end-user must have extreme confidence in the central authority to deliver a trustworthy market result. By decentralizing the three main Artificial Intelligence (AI) elements—data, frameworks, and analytics—blockchain will provide the confidence and trust that end-users always require to accept and rely on AI-based business processes entirely. Explore below how blockchain is geared towards enriching AI by adding faith to data, models, and analytics.
Many of the world’s leading AI technology providers are centralized. Yet, they have all faced difficulties building trust among their enthusiastic, though somewhat wary, consumers. How does an organization provide its customers with confidence that its AI has not met its limits? Envision that these AI services will generate a forensic report, checked by a third party, demonstrates one, beyond a reasonable doubt, how and where the companies use the data until it is ingested. Further, imagine if one could only use the data if the user permits to do so.
A blockchain database can be employed as a digital rights management scheme, enabling the data to be ‘authorized’ to the AI provider on the terms, conditions, and duration. The Ledger will act as an identity control mechanism that stores the evidence and rights through which a company can access and use the customer’s data.
Vast volumes of data are generated every second—more data than humans can analyze and use as a concluding framework. However, AI programs can assess extensive data sets and several variables when learning about or relating certain variables that are important to their tasks and objectives. Thus, AI continues to be implemented in different industries and applications, and we increasingly depend on their performance. However, any decision taken by AI must continue to be checked for human accuracy.
Blockchain can explain the cause, accountability, interpretation, and clarification of these results and decisions. If decisions and associated data points are registered via blockchain transactions, blockchain’s inherent qualities will make auditing much more effortless. Blockchain is a crucial technology that adds trust to network transactions; therefore, blockchain's infusion into AI decision-making processes may be a factor required to achieve the clarity needed to trust AI decisions and outcomes completely.