kaal:claim:4796714-029

A unified governance framework is hard to establish in the federated model because each participating entity maintains its own AI systems and datasets, producing variation in standards, protocols, and formats.

In a federated AI model, different entities or organizations maintain their own AI systems and datasets. This can lead to variations in standards, protocols, and formats used, making it difficult to establish a unified governance framework.

Wulf A. Kaal, AI Governance (2024), Adapting Decentralization of AI Governance to AI Models, p. 33
https://ssrn.com/abstract=4796714 · source PDF

Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

• applies to federated AI architectures with independent participants
• standardization is presupposed by interoperability and ethical practice

failuresupport: arguedfailure: federated standards divergencefamily: harmonization-and-standardization-failuregovernance-design

• restated_by kaal:claim:4941807-021 In the federated model of AI governance many challenges cannot easily be decentralized, because distinct entit...

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