kaal:claim:4796714-004

Ex-post governance, which applies regulation only after AI systems are developed and deployed or after large language models have been pretrained on existing proprietary datasets, fails to address risks and biases preemptively.

Source quote, verbatim
The traditional ex-post governance methods, where regulations are applied after AI systems are developed and deployed, or were pretrained LLMs models were trained on existing proprietary datasets, often fall short in preemptively addressing risks and biases.
From

Wulf A. Kaal, AI Governance (2024), Introduction, p. 3
https://ssrn.com/abstract=4796714 · source PDF

Cite as

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

Holds when
Classification

failuresupport: arguedfailure: ex-post timing gapfamily: regulatory-lagai-and-agentsrisk-and-incentivesgovernance-design

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