kaal:claim:4941807-010

Strict data privacy regulation such as the GDPR imposes stringent conditions on data sharing that limit the amount and variety of data available to AI systems, which can reduce model performance and exacerbate bias because the training dataset is restricted.

GDPR imposes stringent conditions on data sharing, which can limit the amount and variety of data AI systems use, potentially reducing their performance and exacerbating biases due to the restricted dataset.

Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024), ORIGIN OF AI, p. 8
https://ssrn.com/abstract=4941807 · source PDF

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

• under stringent data sharing regimes such as the GDPR

failuresupport: arguedfailure: privacy driven data starvationfamily: ai-model-and-training-failureconsensus-and-security

• extends kaal:claim:4796714-008 Strict privacy and transparency regulation produces a perverse result: because only large technology companies...

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