DAIS: A New Hope for Decentralized AI
The risk of monopolization of the artificial intelligence (AI) industry has mobilized various players in the industry.
In this context, a group of important names in the industry established a non-profit organization to support and develop decentralized artificial intelligence solutions.
This new formation, called the Decentralized AI Society (DAIS), aims to provide a counterbalance to the dominance of the AI industry by big tech giants.
DAIS’ eight founding members include CETI AI, Filecoin Foundation, Bloq, Hypercycle, Morpheus, Hemi, Odyssey and Lumerin.
Michael Casey, former head of content at CoinDesk and president of the annual crypto media conference called Consensus, has been appointed as the president of this organization.
DAIS has identified four main goals to create a more fair and decentralized structure in the artificial intelligence industry.
First, DAIS aims to provide capital to the world of decentralized AI for critical resources such as graphics processing units (GPUs) and data centers.
This is of great importance for players in the industry, who have already started an arms race for these resources.
DAIS aims to provide wider accessibility of these resources and encourage the development of decentralized artificial intelligence systems.
Secondly, DAIS plans to contribute to the policy shaping process on AI regulations.
The current regulatory environment for the AI industry is shaped by rules that generally protect the interests of big tech companies.
By working to make these regulations more fair and open, DAIS hopes to ensure support for decentralized AI applications.
Third, DAIS will focus on education and promotion of decentralized artificial intelligence. To this end, DAIS plans to increase knowledge and awareness in the field of artificial intelligence and contribute to the development of new talents in this field.
With training programs and incentive mechanisms, more people will be encouraged to show interest in decentralized artificial intelligence solutions.
Finally, DAIS aims to create new algorithms for learning models in a distributed manner. This is an important step to ensure that artificial intelligence systems work more efficiently and reliably.
In this regard, DAIS will develop new engineering solutions and work on innovative algorithms that will take existing technologies further.
Michael Casey summarizes DAIS’s mission and vision as follows: “What choice do we have to avoid fighting for a decentralized form of AI?” he asks. “I would never admit that this job is very difficult. Someone needs to solve this challenge.”
While Casey emphasizes the importance of decentralized solutions over the advantages enjoyed by large technology companies, he believes that such solutions can provide a fair balance in the AI industry.
With these goals, DAIS aims to maximize the potential of decentralized artificial intelligence by creating a more fair and accessible structure in the artificial intelligence industry.
The success of the new organization in achieving these goals in the future may have significant impacts on developments in the field of artificial intelligence.