The Intersection of AI and Blockchain
AI tools have been invading people’s daily lives in the past two years, becoming the focus of technology trend topics. In contrast, blockchain technology, also seen as a new technology, has weakened in terms of topicality, even sparking discussions about “who is the true third-generation internet (Web3): AI or blockchain.”
The WEB3+ “BlockPoint Gathering” forum scheduled for November 2024 focused on “The Intersection of AI and Blockchain” and invited Taka, Chairman of the Blockchain Enthusiasts Association, Kordan, Founder and CEO of KryptoGO, and Sofia Yan, Co-Founder and Chief Growth Strategist of Numbers Protocol, to engage in in-depth discussions.
What is the intersection between AI and blockchain, the indispensable basic elements of the future internet?
Taka first pointed out an important concept: although AI is currently very popular and many blockchain companies are adopting it, the concept of AI has been applied in data science and big data fields for a long time. The current blockchain technology is based on these profound foundations and is beginning to integrate with AI.
“AI technology in Web3 is not just to chase trends, but out of the need for the future internet architecture,” Taka said.
Regarding this “need,” Kordan exemplified that AI and blockchain are indispensable basic elements of the future internet because they can form a powerful connection and achieve synergies in multiple aspects.
He explained, “AI can accelerate the development of the Web3 world, while blockchain can ensure the security and privacy of AI applications.” KryptoGO, founded by Kordan, focuses on combining AI technology with blockchain applications, especially in the areas of digital asset security and compliance. He explained that KryptoGO’s technology combines facial recognition with blockchain to create secure digital identity verification and applies AI to blockchain asset management to enhance system credibility and operational efficiency.
Kordan also mentioned that blockchain technology is crucial for enhancing the credibility of AI systems, as the rise of generative AI means that the generated content is not entirely reliable. Blockchain technology can trace the source of data and ensure the authenticity of AI-generated content.
Sofia shared the specific application of Numbers Protocol in the integration of AI and blockchain, emphasizing the importance of exploring how AI can achieve data transparency and traceability with the support of blockchain. Numbers Protocol has been working on tracing the origin of image content since 2018, especially in the context of the proliferation of fake news. By utilizing blockchain technology, Numbers Protocol uploads information such as the generation process, location, and time of each image or video 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 has collaborated with Taiwanese media this year to track and verify images during the presidential election period, and the company has also partnered with international media to enhance content transparency and credibility.
As the blockchain industry matures in the future, the demand for collaboration between AI and blockchain will only grow larger. It is certain that both are indispensable foundational technologies for entering the Web3 era.
