Brianna White

Administrator
Staff member
Jul 30, 2019
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Artificial intelligence (AI) is revolutionizing how we consume and create data and information, but it comes with its own challenges. One of the most pressing issues is the creation of fake content, which raises questions about the trustworthiness of the information we encounter online. Could existing technologies help address this trust deficit? Interestingly, organizations are turning to blockchain technology that was once considered transformative but struggled to gain traction in the business world.

Blockchain is an unchangeable, shared ledger that tracks assets and transactions within a business network. Its key features—decentralized data storage and transparent, immutable digital records—make it a promising solution to the trust issues plaguing AI. While AI is typically opaque and centralized, blockchain could provide the accountability, privacy, and trust that AI lacks. Let's explore how this convergence could work.

High-Quality Data​

AI-enabled software and apps are gradually transforming various business sectors by providing real-time access to patient data, among other things. However, one significant challenge remains limited access to high-quality data. AI often cannot access data governed by other entities, making data authentication difficult. This frequently results in low-quality data, which can lead to inaccurate predictions.

Blockchain can be incredibly useful in this context. It can provide vast amounts of data that are not owned by any single entity, making it immutable and accessible to everyone. Additionally, blockchain ensures the implementation and compliance of specific analytics, data, and rules securely and sequentially through "Smart Contracts." With their immutable digital records, these smart contracts could help us understand AI's framework and the source of the data it uses, thereby addressing the trust issue. The best part? Blockchain enables real-time access to high-quality data without compromising data security and privacy.

For instance, the blockchain-based video marketplace MOBS allows users to buy and sell smartphone videos. Once users sell their videos, potential buyers, like marketers, can sift through them to find what they need. The MOBS blockchain then creates a smart contract that directly apportions money to the content creator based on engagement views and rates. This ensures that all customer details, app data, and financial transactions are publicly accessible, immutable, and recorded in real time. The result is fair, secure, and faster transactions, guaranteeing data accuracy and authenticity and eliminating the need for intermediaries.

Decentralized Intelligence​

One issue with existing AI-powered business models is data centralization, which prevents AI systems from rendering the most accurate decisions. In this context, blockchain's decentralized data storage can be the perfect audit trail, showing users how companies and other organizations employ their data. The idea is to enable frictionless access to information that is both shared and validated by all stakeholders involved in the network. If blockchains were to store and distribute AI models, the latter's decisions could become more transparent and accountable due to decentralization.

In conclusion, the convergence of AI and blockchain holds immense potential for creating a new era of trust and transparency. By leveraging blockchain's decentralized and immutable nature, we can address many of the trust issues plaguing AI, paving the way for more accountable, private, and trustworthy AI systems.

Read the article: https://www.sify.com/cryptocurrency/how-blockchain-can-solve-ais-trust-problem/