OriginTrail: Decentralized Knowledge Graph Tackles Misinformation and Boosts Trust in AI and Supply Chains
Summary:
OriginTrail, a decentralized knowledge graph protocol, aims to combat misinformation and fraud in AI and supply chains. Co-founders Žiga Drev and Tomaz Levak discuss the importance of decentralization, the creation of a trusted knowledge foundation, and the benefits for users. They highlight the ability to verify the source of information and the real-world applications of blockchain technology. OriginTrail has partnered with major enterprise clients like Walmart and Google and offers a platform for creating and leveraging knowledge assets. Listen to the full podcast episode for more insights into their work.
Artificial intelligence (AI), large language models (LLMs), and machine learning have become deeply ingrained in our technologically connected lives. While tools like ChatGPT offer numerous benefits, they also have a potential downside. ChatGPT and other LLM chatbots have been known to occasionally provide inaccurate information, exhibit biases, and even pose harm.
The role of AI serves as a reminder of the significance of verifying information. In areas like supply chains, where verifiability has always been crucial, blockchain technology and decentralization are often heralded for their real-world advantages. OriginTrail is an initiative aimed at realizing this potential. They are developing the first-ever decentralized knowledge graph, a data layer that establishes and validates relationships between different data points.
In the latest episode of The Agenda podcast, Jonathan DeYoung and Ray Salmond interview Žiga Drev and Tomaz Levak, the co-founders of OriginTrail. They delve into topics such as knowledge graphs, the importance of decentralization in AI and supply chains, their experience with enterprise clients, and more.
OriginTrail's objective is to build a "trusted knowledge foundation" that can combat misinformation and fraud in areas like AI hallucinations or medical supply chains. To achieve this, they have created the Decentralized Knowledge Graph (DKG), which offers a decentralized version of the relationship-revealing tools used by tech giants like Google and Amazon.
According to the founders, decentralizing knowledge graphs is essential because centralized services tend to consume user data without adequately compensating users. With OriginTrail, users can create "knowledge assets" on the DKG, allowing them to leverage and derive value from their contributions, similar to how tokens are used in decentralized finance today.
The founders further argue that a trusted knowledge foundation will enable users to verify the accuracy of information generated by AI chatbots. By tracing the origins of the chatbots' output, users can ensure the validity of the information.
OriginTrail has garnered support from prominent enterprise clients, including the British Standards Institution, Walmart, Google, and Oracle. When discussing the value of enterprise adoption and blockchain tools for information verification, Levak highlights that different people find use cases in various fields, such as pharmaceuticals, construction, or food.
In today's climate, AI is an easily relatable use case for blockchain technology. The founders acknowledge that people often wonder about the impact AI will have on their job security and question its trustworthiness. These concerns reinforce the importance of technologies like OriginTrail, as they can positively or negatively influence personal and professional situations.
To gain further insights from Levak and Drev's conversation on The Agenda, including the protocol's name origin, the TRAC utility token's tokenomics, and their opinions on market hype versus longevity, listen to the full episode on Cointelegraph's Podcasts page, Apple Podcasts, or Spotify. Be sure to explore Cointelegraph's complete lineup of other shows as well.
Published At
9/6/2023 12:20:00 PM
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