Artificial intelligence (AI) is playing an increasingly important role in detecting fake NFTs and finding their true value. AI-powered content recognition and fraud detection systems are able to distinguish originals from fakes to an extent impossible for the naked eye. This technology is particularly useful in the fight against counterfeiting, especially in view of the ever-increasing number of NFT projects.
AI and false NFT detection
AI is used to analyze NFT performance, looking at key indicators such as sale rate, potentially fake non-fungible tokens and NFTs that have been copied from one collection to another. Some of the largest marketplaces for non-fungible tokens, such as OpenSea and Rarible, have recently started using AI solutions to help detect copymint in real time. AI solutions can evaluate new existing collections by identifying potentially fake non-fungible tokens and instantly remove them or warn marketplaces.
Restoring the authenticity and originality of NFTs
AI can restore the authenticity and originality of NFTs by detecting and eliminating counterfeit coiners. AI models are changing the game in the fight against counterfeiting, particularly in the context of the ever-increasing number of non-fungible token projects. These solutions can process hundreds of millions of assets a day with 99.9% accuracy.
Impact on NFT values
Detecting fake Non-Fungible Tokens and finding their true value is essential to building investor confidence and enhancing the reputation of NFT markets. Non-Fungible Tokens are only valuable because of their uniqueness, and copied NFTs are fundamentally worthless to consumers. In addition to financial losses, they entail considerable reputational costs for buyers and creators.
