kaal:claim:4796714-023

Purely preemptive regulation cannot succeed on its own, because it is not possible to anticipate every issue or bias an AI system will exhibit before it is operational and interacting with real world variables.

It is challenging to anticipate all potential issues or biases that may arise with an AI system before it is fully operational and interacting with real-world variables. Regulations that insist on preemptive controls may fail to address unforeseen problems that only become evident after deployment.

Wulf A. Kaal, AI Governance (2024), Challenges, p. 31
https://ssrn.com/abstract=4796714 · source PDF

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

• applies to ex-ante controls imposed at the model and data levels
• concerns emergent behavior that appears only in deployment

failuresupport: arguedfailure: preemptive anticipation limitfamily: ai-oversight-and-alignment-gaprisk-and-incentivesai-and-agents

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