- Ethereum offers transparent smart contracts to solve the problem of the Blackbox models from AI.
- Decentralized AI tools on Ethereum signal a change to Open AI based on open source
Ethereum could be the answer to some of the greatest challenges in the field of artificial intelligence, since the call for transparent, decentralized alternatives to the dominating AI platforms is getting louder. The former Ethereum nucleus developer Eric Connor believes that Ethereum’s largest mainstream moment is associated with the interface to artificial intelligence.
He argues that the inherent qualities of the blockchain can solve deeply rooted problems within the current AI systems. With decentralization, transparency and verifiable data, Ethereum could offer a more ethical and responsible basis than the existing ones for AI applications today.
Ethereum role in transparent, responsible AI
Connor, who left the Ethereum Community in January, to research Ki, wrote on April 15 that the entire scene of “BLACK-BOX models, centralized data silos and data protection traps was plagued”.
He says that these defects are a “huge opportunity” for Ethereum to appear as a partner for a decentralized AI development. He points out that smart contracts can be open records for model training and data use and thus solve the transparency problem of the AI.
As CNF reported, Ethereum has a system that is resistant to big-tech monopolis. Its token-controlled administration enables precisely adapted incentives and micro payments.
According to Connor, these properties create an environment in which AI developers can experiment with open and fair systems that are accountable to users and not companies.
Connor warns that dominant AI companies will oppose decentralization because they benefit from confidentiality and control, but public demand for transparency is growing quickly.
He says that Ethereum already has the ethos to support ethical AI – openness, cooperation and minimizing trust. By investing in research and tools, Ethereum can provide the developers of AI reasons to use the decentralized infrastructure. This will also add this to Ethereum’s relevance beyond financial applications.
AI agents and blockchain integration in the real world
The Ethereum Foundation has also recognized the role of blockchain in the “agent -based AI” – AI that makes autonomous decisions, learns from data and adapts over time. In a recently published blog post, the foundation found that the openly accessible architecture of Ethereum enables AI agents to interact with smart contracts, to manage digital assets and access real-time blockchain data.
Several projects are already researching this intersection. This includes Luna, a virtual influencer who manages, manages, AixBt, an agent that offers insights into the market, and Botto, an autonomous artist who creates NFTs under the influence of community votes. In the meantime, platforms such as Bankr and Heyanon are working to make the interaction with the blockchain more user-friendly by enabling the management of wallets in dialogue with the help of AI interfaces.
Zain Jaffer, co -founder of Vungle, previously stated that the next border for cryptocurrencies was located in the decentralization of AI – a vision that now seems to be in line with the growing role of Ethereum.
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