kaal:claim:4855607-034

Distributing governance across all participants prevents any single entity from dominating decision making, and because model or training changes then require consensus, the resulting decisions reflect collective rather than individual interest.

By distributing governance across all participants, the proposed web3 community governance system ensures that no single entity can dominate the decision-making process. This structure promotes the alignment of incentives since changes to the model or the training process require consensus

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), RLHF Optimization, p. 51
https://ssrn.com/abstract=4855607 · source PDF

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

• governance systems where change requires consensus among distributed participants

mechanismsupport: arguedconsensus-and-securityregulatory-failureai-and-agentsrisk-and-incentivesdecentralizationgovernance-design

• restated_by kaal:claim:4941807-025 Kaal proposes that a more decentralized Web3 model of AI governance can address the failures of the federated ...

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