The role of artificial intelligence (AI) in Web3

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Web 2.0 has served us for more than two decades, but it also has its own shortcomings. Due to widespread concerns about privacy and security, we are gradually entering a new digital age known as Web 3.0.

Web 3.0, also known as the Semantic Web, is the next stage in the evolution of the Internet, promising more user empowerment, openness, and privacy.

Web 3.0 applications are designed to achieve higher levels of security and interoperability by building a decentralized infrastructure so that no central server is required. Instead, Web 3.0 applications will run on distributed blockchain and cloud networks.

Artificial intelligence (AI) is becoming one of the fundamental building blocks of Web 3.0, promising to enhance user experience through better content recommendations and improved human-computer interaction.

Below, we explore the importance of AI as the cognitive layer of Web 3.0.

Web 3.0 envisions a world where users and other devices may directly converse online. However, this requires the machine to first understand the digital content. This is why artificial intelligence will be the cognitive layer of Web 3.0, enabling machines to "understand" online content by providing deep learning algorithms and analytical capabilities.

Essentially, deep learning algorithms will train AI to recognize different types of content and attribute meaning to them. This way, search engines will not only recommend the most popular types of content, but will gain a fundamental understanding of it to help improve the overall user experience.

Natural language processing (NLP)—one of the most fascinating subfields of linguistics and AI—will also play a prominent role in the Semantic Web, enabling AI algorithms to analyze and increasingly understand online communications.

The implementation of NLP in the Semantic Web is crucial to create a safer online environment and develop some of the most promising elements, such as AI-based chatbots to automate Processes for customer support or improved content indexing algorithms.

Below we explore some of the user-facing benefits of using AI as the cognitive layer for Web 3.0.

AI will redefine user experience in Web 3.0

AI will generate more personalized recommendations
AI-based recommendation engines are already used in Web 2.0 applications such as Amazon and Netflix. Recommendations from the Netflix Recommendation Engine (NRE) are already behind 80% of viewer activity on the streaming platform.

Since AI algorithms are able to analyze vast amounts of user data and create predictive models on an individual level, they could be at the heart of Web 3.0 recommendation engines.

AI-based recommendation engines will lead to better navigability and user experience, as they can truly "understand" user preferences and provide more personalized recommendations.

2. Smarter dApps and smart NFTs

Web 3.0 is expected to introduce smarter decentralized applications (dApps) as blockchain developers incorporate artificial intelligence and machine learning algorithms.

A fascinating early example is Alethea AI’s Alice, the first non-decentralizable token (NFT) with self-learning capabilities, changing the way it interfaces with people as it learns each new interaction. As the first intelligent NFT (iNFT), Alice has a personality of her own and is able to engage in exhaustive conversations with internet users and learn from them in the process.

As AI algorithms improve, next-generation dApps and NFTs will likely benefit from their efficiency as decentralized applications gain better data management and analysis capabilities, while next-generation NFTs will have human-like behavior.

3. More precise advertising

While social media giants and marketing companies already collect our browsing data to serve up more relevant ads, it's not in the best interest of internet users.

First, Internet users voluntarily hand over their data to profitable third parties without realizing its true value. Second, the invasive data mining practices employed by these companies have raised widespread privacy concerns among internet users.

The decentralized spirit of Web 3.0 aims to bring more user empowerment by returning people's control over data. Users can choose to share data with advertisers, and advertisers pay users directly.

By applying artificial intelligence algorithms, advertising companies will be able to analyze more data and consider more factors when personalizing user advertisements. As a result, Web 3.0 users will receive more relevant advertisements, while artificial intelligence algorithms will continuously adapt to each individual's preferences.

4. Increase content security

In Web 3.0, content security becomes an important issue because human content security indexes often result in inconsistent metadata due to our unique subjective perspective.

AI removes the biases of the human mind, which can lead to more consistent and reliable content metadata.

Video content security is especially important because the number of videos uploaded every day far exceeds the ability of human oversight. However, artificial intelligence is gaining momentum to change content security in Web 3.0 due to the enormous scalability of AI algorithms.

At AIWORK, we are aware of the dangers posed by inconsistent video metadata. We have developed a blockchain-based platform that combines AI algorithms and a network of human experts to generate and enhance online video metadata.

As we advance the adoption of AI for Web 3.0, we make video content appropriateness our highest priority, focusing on the needs of our users