2. Need of AI

Currently, AI systems, are controlled by a single organization or authority can pose many risks and concerns. These issues include data privacy and security, concentration of power, potential misuse, lack of transparency, and social biases.

DAO-based AI management system, the decision-making authority is distributed among the members of the community, rather than being concentrated in the hands of a few individuals or entities. This decentralized approach fosters a sense of collective ownership and responsibility, ensuring that the development and deployment of AI align with the interests and values of the community as a whole.

One of the key aspects of managing AI using a DAO is the establishment of transparent governance protocols. These protocols define the rules and processes by which decisions related to AI development, deployment, and maintenance are made. Members of the DAO can propose and vote on new AI models, updates, and policies, ensuring that the direction of the AI ecosystem is guided by the collective wisdom.

In addition to promoting transparency and collaboration, DAO-based AI management also encourages a more ethical approach to AI development. By involving a diverse community of users, businesses, and developers in the decision-making process, DAOs can facilitate the identification and mitigation of potential biases and ethical concerns, fostering the development of AI models that are fair, accountable, and unbiased.