Forms of Decentralized AI Start Rising Thanks to Blockchain
Although right now it looks like only huge companies like Google, Microsoft and ChatGPT are able to provide truly competitive artificial intelligence services, decentralized technologies like blockchain are also being applied to AI to build a different way of providing AI services.
That is what , a cloud computing business, is trying to do. Last February, the company announced HumanAIx, a global alliance of decentralized protocols which can be used together to build a “better AI infrastructure”, advancing the AI landscape through “shared knowledge, interoperable frameworks and secure AI solutions”, as stated in a press release.
The initiative brings together key Web3 and AI-driven projects to tackle challenges in compute, storage, and data, such as high costs, scalability, and ethical concerns, by creating an open, permissionless, and verifiable AI ecosystem.
The alliance includes founding members like Neo, Storj, Oasis Protocol, YGG, io.net, and XYO, each contributing expertise in areas like storage, decentralized computing, cybersecurity, smart contracts, and AI model training. HumanAIx follows a three-layer architecture—interface, protocol (compute, storage, data), and security—to build a transparent, scalable, and human-centric AI ecosystem.
OORT and its partners emphasize fair compensation, privacy, and decentralization, ensuring AI benefits the broader community. The alliance also invites developers and organizations to participate in shaping the future of decentralized AI.
Join efforts to make ethical AI
With this alliance, OORT wants to gain strength to success in the tricky and difficult aspects of AI: compute, storage, and data, which continue to face significant challenges including high costs, energy consumption, scalability limitations, and centralization, which restrict accessibility and efficiency.
As explained by the company, on the storage side, handling large data volumes and associated transfer costs continues to be a challenge. Meanwhile, data acquisition often raises ethical and legal concerns, with frequent violations of privacy rights.
When it comes to data labeling, relying on underpaid workers in poor working conditions is also not a good practice, creating “serious human rights concerns”. Additionally, individuals who contribute data rarely receive fair compensation or incentives, they acknowledge.
Overcoming these challenges is important for the industry’s long-term sustainability and ethical development, and a join effort from decentralized protocols and technologies could help create this AI landscape that values privacy and security.
OORT has already collaborated with some big companies to provide or improve AI services, like BNB Greenfield, Dell Technologies, Seagate, Lenovo Image or Tencent Cloud. OORT has already more than 73,000 nodes in 117 different countries, bolstering a diverse and shared network.
Michael Robinson, Chairman of OORT Foundation, said that they “believe AI should create more benefits than constraints for humanity. With the launch of HumanAIx, we are fostering a decentralized movement to ensure AI remains human-centric and serves the broader community,” tells Robinson.
“We are thrilled to collaborate with like-minded visionaries and excited to develop initiatives that better serve the AI community, ultimately building a truly human-centric ecosystem”, assures the chairman.
