The generative abilities of conversational artificial intelligence such as ChatGPT and Midjourney paved the way for better tools to utilize and benefit from data. However, the AI trend also enabled the rise of fake data and fabricated files. For example, with the advanced content creation capabilities of AI, fake images have become indistinguishable from authentic pictures.
With its immutable nature, blockchain technology has the potential to counter AI-powered fake data with a set of verification and validation. Recent reports estimate that the global blockchain AI market will grow from $230 million in 2021 to almost $1 billion in 2030. As the blockchain AI market expands and matures, new projects aiming to provide better data management and security enter the space. From timestamping documents via blockchain to providing data authenticity to using Big Data derived from social media for informed market decision-making, here are the most popular blockchain projects that utilize the power of AI.
DAO enabling verifiable data and docs
One of the key aspects of blockchain technology is the timestamping of each block generated on the network. Blockchain-based open-source platform VIDT DAO facilitates decentralized timestamping technology to secure and verify digital data such as certificates, firmware and AI results. Using the native VIDT token, the platform provides data validation and governance across the blockchain. Each time a VIDT holder timestamps a file, a transaction is made, which records all necessary details into several blockchains.
Source: VIDT DAO
VIDT DAO recently announced FileValidator, a user-friendly tool that enables anyone to timestamp their files, ensuring their authenticity and making data easily verifiable. When used for AI apps and services, FileValidator allows for timestamping AI prompts and results with blockchain, helping with more transparent records of AI model performance. By providing a way to know what is true instead of trying to catch everything that is false, VIDT integrators create a trustless environment for data and document exchange. FileValidator’s open beta is slated to launch on April 7.
AI-powered market intelligence
The fast decision-making capabilities of AI present a highly-effective means of collecting and analyzing real-time data as long as it’s combined with market-specific tools and algorithms. LunarCrush, a crypto-asset intelligence platform, uses AI to analyze Big Data created across social media platforms to provide real-time crypto market insights and analytics.
Users avoid making crypto investment decisions fueled by fake news and baseless hype by using reliable information about crypto projects, influencers and market trends delivered by LunarCrush. Social analytics tools found in LunarCrush help crypto users from all experience levels to make informed decisions based on accurate information.
Data exchange in a trustless environment
The decentralized and cryptographic infrastructure of blockchain helps build AI models that are resistant to data tampering, resulting in data exchanges in a robust environment. Fetch.ai, a Cambridge-based AI platform, uses advanced technologies like machine learning, blockchain and multi-agent systems to enhance data security and authenticity.
A decentralized machine-learning network for better data security and authenticity attracts interest from global players as well. German industry giant Bosch recently joined forces with Fetch.ai to establish the Fetch.ai Foundation to boost industrial adoption of AI-powered blockchain and Web3 technologies.
With projects like LunarCrush, VIDT DAO and Fetch.ai reshaping the way users and businesses approach data security and integrity, it becomes possible to fight against fake data and documents created by the rise of AI technologies. By focusing on innovative.
solutions, these projects are allowing for a more secure digital future. As it becomes more crucial to differentiate fake data from the original, projects using blockchain to provide validation are safeguarding the digital presence of society as a whole.
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