One of the most impressive advents of the internet, Web 3.0 promises to effectively revolutionize the way people interact with each other and the world around them by expanding full-time connectivity based on interactivity unprecedented in the history of the internet since its inception.
However, this current internet revolution also brings challenges and issues to be debated, especially about content security in an increasingly decentralized online environment. AIWork proposes solving these challenges through an artificial intelligence blockchain protocol used to generate normalized and enhanced metadata for video content. But before delving into this subject, it is necessary to understand some internet concepts.
The Evolution of the Internet
Web 1.0 and 2.0
Web 1.0 marked the beginning of the entire internet, being classified as its first version. Initially, it was exclusively a “read-only” web, without any significant interactivity, later evolving to webpages with images but still being purely static.
It gradually evolved as it became more interactive, with its transition to Web 2.0 being observable in the early 2000s. Its concept can be translated into “Web as a platform.” One of its breakthrough moments was the possibility of producing content, such as photos and videos, in sharing platforms. The web was migrating to two-way communication, becoming a two-way process. During this period, people began to produce, publish and share content among themselves.
Web 3.0
With the evolution of internet bandwidth all over the world, and the way it can be accessed, no longer having its access limited to the use of a desktop, it became possible to start its transition to Web 3.0, which is mainly characterized by the decentralization of applications, solutions, and services, in addition to the increase of importance of privacy and virtualization, characterized by the reproduction of realistic experiences in a virtual way.
Why is Web 3.0 Focused on Decentralization?
At the peak of web 2.0, the growing importance that various companies and digital tools began to have in the daily lives of an increasing number of people around the globe became evident. However, by allowing users also to become content producers, these companies that own these increasingly popular digital tools now have the right to an unprecedented amount of data and information in history.
This monopoly of personal data, together with issues related to user privacy, has led to the demand for a more decentralized internet, which means less concentration in the hands of a few companies.
This is the central pillar of Web 3.0, the internet with the promise of being based on crypto and blockchain infrastructure, where there can be at the same time the decentralization that Web 1.0 had with the functionality of Web 2.0.
In this new internet, the data and information collected are no longer the property of the platforms through public and secure networks. Instead, its purpose is to return the power – and the earnings – to the final user. You only need to have a digital wallet and connect to the blockchain. Money, certificates of ownership, identity, and personal data can all be owned and managed by users themselves.
The Problems of Decentralization
The idea of decentralization was already exercised in Web 2.0, when people started to create articles on various subjects on their blogs themselves, later evolving into videos with the emergence of platforms such as Youtube, allowing anyone to post video content by themselves as it was convenient for them. However, this set precedents for some problems, such as:
- Content security: cases like the YouTube content scandal in 2017 showed that ensuring content that is safe is a big issue.
- Language barrier: The world is globalized and connected, but we still face language barriers when it comes to global communication, which can be an obstacle when it comes to decentralization.
- Criminality: In a decentralized environment, where content is not only stored on a single server but transferred from one computer to another, it becomes difficult for legal authorities to act against the propagation of illegal content or criminal ideology.
How the YouTube Content Safety work
After the YouTube content scandal in 2017, where several sexually inappropriate videos were made available on the YouTube Kid’s app, YouTube has taken steps to ensure the safety of the content posted on its platform.
They adopted four principles that are organized around the four “Rs”:
- Remove harmful content.
- Raise authoritative voices.
- Reduce borderline content.
- Reward trusted creators.
AIWORK’s Solution
Within Web 3.0, there is a decentralized, open-source blockchain protocol solution built on the consensus of Artificial Intelligence and human experts, combining efforts to improve the metadata for video content. The protocol’s first decentralized application will be an open search engine for video, indexed and maintained by their community. Its main standouts are:
- being able to identify objects and people in the videos,
- classifying these findings using the Entertainment Identifier Registry (EIDR),
- identifying and describing what is happening in that part of the video,
- which program or show this part was extracted from,
- transcripts and translations for videos with reasonable accuracy of around 60%;
- among many other impressive details.
AIWORK nodes will record their metadata in JSON format anchored to the Ethereum blockchain. However, because of its size, which can be quite large, most of the metadata will not be stored directly in the blockchain but linked to it using the EIDR identifier.
The generation of a trademark content safety index is known as ContentGraph. The platform will rely on AI to define and classify a confidence score from 0 to 9, considering several content safety attributes, such as nudity, adult, offensive language, hate speech, violence, guns, alcohol, illegal drugs, and religion. This short string of numbers will enable programmatic matching of content and context for optimal placement.
AIWORK’s Real-World Applications
- Better discoverability by generating better content metadata.
- Better content safety since AI can easily flag inappropriate content allied with human experts.
- More safety for advertisers.
- Content with no barriers with AI and human experts transcriptions and translations to many other languages.
- Interactive touch hotspots when you can click on objects on the screen and find them online.
Conclusion
The majority of content on the internet nowadays is video-based, playing a very important role in monetization and advertisement. The big issue is that the quality of video metadata is very basic and does not help people much. AIWORK’s role is to change that by enhancing video metadata unprecedently, with an Open Video Search Engine, which promises to revolutionize the way people will search for videos and watch them, alongside how companies will advertise video content on the internet. Definitely, a game-changer project to keep an eye on.
