The intersection of AI and blockchain

AI tools have invaded people's daily lives in the past two years and become the focus of technology trend topics. Blockchain technology, which is also regarded as a new technology, has become less topical in comparison, and has even triggered discussions about "who is the real third-generation network (Web3), AI or blockchain?"

The WEB3+ "Block Points Come Together" forum in November 2024 will focus on the "intersection point of AI and blockchain" and invite Taka Jun (Taka), chairman of the Blockchain Enthusiasts Association, and founder and executive of KryptoGO Kordan and Sofia Yan, co-founder and chief of growth strategy of Numbers Protocol, had an in-depth discussion.

An indispensable basic element in the future network

What is the intersection between AI and blockchain?

Gao Qijun first pointed out an important concept. Even though AI is currently very popular and many blockchain companies have followed suit, the concept of AI has been applied in the fields of data science and big data a long time ago. Blockchain technology, based on these profound foundations, has begun to be combined with AI.

"The AI ​​technology in Web3 is not just to catch up with trends, but out of the need for future network architecture." Gao Qijun said.

In response to this "demand", Ou Yaowei gave an example. AI and blockchain are indispensable basic elements in the future network, because the two can form a strong connection and achieve synergy in many aspects.

He explained, "AI can accelerate the development of the Web3 world, and blockchain can ensure the security and privacy of AI applications." KryptoGO, founded by Ou Yaowei, focuses on the application of combining AI technology and blockchain, especially in digital asset security. and compliance areas. He explained that KryptoGO’s technology combines facial recognition with blockchain to create secure digital identity verification, and applies AI to the management of blockchain assets to improve the credibility and operating efficiency of the system.

Ou Yaowei also mentioned that blockchain technology is very important for improving the credibility of AI systems. With the rise of generative AI, the content it generates is not completely reliable. Blockchain technology can trace the source of data and ensure the authenticity of AI-generated content.

Kordan, founder and CEO of KryptoGO.

Does AI also need blockchain support?

When it comes to tracing data sources, Sofia shared the specific application of Numbers Protocol in the combination of AI and blockchain. She pointed out that instead of focusing on how blockchain can help AI, it is more important to explore how AI can achieve data transparency and traceability with the support of blockchain.

As early as 2018, Numbers Protocol has already begun to work on the traceability of image content. Especially in the context of the spread of fake news, how AI-generated content can be verified has become a major challenge. To solve this problem, Numbers Protocol uses blockchain technology to upload the generation process, shooting location, time and other information of each picture or video to the chain to ensure its authenticity and traceability. This not only effectively prevents the spread of fake news, but also allows content creators to protect their copyright assets.

Numbers Protocol not only cooperated with Taiwanese media this year to track and verify images during the presidential election, the company also worked with international media to improve content transparency and credibility.

In the future, as the blockchain industry develops more and more maturely, the demand for collaboration between AI and blockchain will only be greater, and it is certain that both are indispensable underlying technologies for entering the Web3 era.

Sofia Yan, co-founder and chief of growth strategy at Numbers Protocol.

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