This paper is a proposal to develop a study on governance of artificial intelligence algorithms and data from a comparative study of proposals available in the literature and experiences from Internet governance. Complementarily these studies will be made available for discussions in a Decentralized Autonomous Organization to be implemented, especially for this purpose, in the environment called web3 or Decentralized Finance (DeFi).

Human-algorithm interaction is a crucial issue for humanity in light of the impacts of the recent release of ChatGPT3 and 4, among others. These advanced chatbots provoked a worldwide debate in March/2023, when a manifesto signed by several stakeholders was published and widely discussed in the media and academia. This work assumes that human-algorithm interactions are influenced by a context of diverse interests and perspectives, which adds high complexity to the problem. Therefore, this work proposes a solution to enable the effective participation of stakeholders from different domains and society in a constructive dialogue, using digital platforms as a medium. Inspired by the successful governance of the Internet infrastructure ecosystem, the proposal involves the creation of an Autonomous Decentralized Organization (DAO) implemented in the blockchain environment of the Ethereum network. However, before implementing the DAO, it is necessary to build a knowledge base, that is, an ontology, which guides its development in a safe and adequate way. A preliminary version of this knowledge base was manually built using Protégé with over 4,000 axioms.

This paper is a proposal to develop a study on governance of artificial intelligence algorithms and data from a comparative study of proposals available in the literature and experiences from Internet governance. Complementarily these studies will be made available for discussions in a Decentralized Autonomous Organization to be implemented, especially for this purpose, in the environment called web3 or Decentralized Finance (DeFi).