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How Blockchain Can Solve the AI Trust Problem
Blockchain will add transparency to the AI system, enabling real-time decisions and ensuring timely planning for a better strategy.
Artificial intelligence (AI) is transforming the way we consume and create data and information, but for both good and bad. TO THE it is now also used to create fake content, which raises the question of how we can trust what we hear, see and consume on the Internet. Could we perhaps leverage existing technologies to address this lack of trust? Interestingly, this is transforming organizations into a technology that was once hailed as transformative but failed to gain traction in the business world.
We are talking about blockchain, an immutable, shared ledger that tracks resources and transactions across an enterprise network. However, we are more interested in its main features: decentralized data storage and transparent, immutable digital records. Since AI is typically opaque and centralized, blockchain could help offer insights, potentially providing accountability, privacy, and trust to the AI. This article delves into how exactly this convergence might work.
High quality data
A-enabled software and apps are slowly transforming business verticals by providing access to real-time patient data. However, the one challenge they continue to face is limited access to data. AI often cannot access data managed by other entities, and it is difficult to examine data authentication. This often results in low-quality data, which ends up being taken into account multiple times to predict outcomes.
This is where blockchain can be very useful. First, it can provide heaps of data that are not owned by any single entity, thus making it immutable and accessible to all. Furthermore, it also ensures the implementation and compliance of certain analytics, and specific rules in a secure and sequential manner with the help of “Smart contracts.” Since smart contracts own the immutable digital records of the blockchain, this could help us understand the structure of AI and the source of the data that AI uses, addressing the issue of trust. The best thing? Overall, it enables access to high-quality data in real time without compromising data security and privacy compliance.
The MOBS Blockchain-based video marketplace is a platform for buying and selling smartphone videos. Once users list their videos for sale, potential buyers, like marketers, looking for compelling footage can sift through to find what they need. Hence, the MOBS blockchain create a smart contract which directly awards money to the content creator based on views and engagement rates. Therefore, with the help of Smart Contracts, blockchain ensures that all customer details, app data and financial transactions are publicly accessible, immutable and recorded in real-time. This results in fair, secure and faster transactions and ensures the accuracy and authenticity of the data, thus eliminating the need for intermediaries.
Decentralized intelligence
One problem with existing AI-based business models is the centralization of data, which is why AI systems are unable to make more accurate decisions. In this context, decentralized blockchain data storage can serve as a perfect audit trail. It can show users how companies and other organizations use their data. The idea is to enable seamless access to information that is shared and validated by all stakeholders possibly involved in the network. So, if blockchains were to store and distribute AI models, AI models’ decisions could become more transparent and accountable through decentralization.
Take Numerai, for example. It is a decentralized hedge fund where data scientists from around the world are constantly working on AI problems. It runs a blockchain-based stock market prediction competition, where scientists obtain raw data on machine learning problems from the company and ultimately create models based on it.
Authentication machine and human contribution
In today’s world, where ChatGPTis increasing day by day, therefore it is essential to distinguish between results created by artificial intelligence and those generated by human intelligence. As AI optimizes many work- and consulting-related processes and daily operations, there is a growing need to evaluate whether information has AI input or is human-generated. This is where blockchain and its use of Smart Contracts come into play again. They are useful for creating verifiable identities for AI/machine and human contributors.
OpenAI’s WorldID initiative is the perfect example of how smart contracts can be used to authenticate the origin of contributors/contributions. Functioning as a “global personality test”, WorldID enables a clear distinction between artificial intelligence and human-generated results, thus possibly addressing ethical concerns in areas such as recognition and journalism and general apprehensions about liability.
Computing power
Because AI is resource-intensive, centralized data centers may not always be able to handle the large amounts of computing power they need. Blockchain distributed ledger technologies can help immensely by using the computing power of many machines. Core Scientific, a digital asset mining company based in Bellevue, Washington, integrates custom blockchain AI infrastructure with current enterprise networks, thus upgrading a company’s software, servers, and physical infrastructure in the process. Since AI can absorb huge amounts of computer processing power, it ensures that company-controlled AI and blockchain infrastructures always run at optimal efficiency to reduce time and energy consumption.
All in all, blockchain will definitely add transparency to the AI system, enabling real-time decisions and ensuring timely planning for a better strategy.