kaal:claim:4941807-021

In the federated model of AI governance many challenges cannot easily be decentralized, because distinct entities maintain their own AI systems and datasets, producing variation in standards, protocols, and formats that obstructs a unified governance framework.

In the federated model of AI governance, many challenges cannot be easily decentralized. For example, different entities or organizations maintain their own AI systems and datasets. This can lead to variations in standards, protocols, and formats used

Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024), Adapting Decentralization of AI Governance to AI Models, p. 24
https://ssrn.com/abstract=4941807 · source PDF

Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

• where separate organizations maintain independent AI systems and datasets

failuresupport: arguedfailure: standards fragmentationfamily: harmonization-and-standardization-failuregovernance-designai-and-agentsdecentralization

• restates kaal:claim:4796714-029 A unified governance framework is hard to establish in the federated model because each participating entity m...

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