kaal:claim:4941807-005

Integrating feedback directly into governance processes allows stakeholders to iteratively adjust AI models as new information, operational experience, and changed environments arrive, which mitigates risks and biases more effectively than static ex-post regulatory frameworks.

stakeholders can iteratively improve and adjust AI models in response to new information, operational experiences, and changing environments. This ongoing process helps mitigate risks and biases more effectively than static, ex-post regulatory frameworks.

Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024), INTRODUCTION, p. 3
https://ssrn.com/abstract=4941807 · source PDF

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

• where feedback is embedded in the governance process itself
• where models can still be adjusted after deployment

mechanismsupport: arguedgovernance-designai-and-agents

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