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https://ai-act-service-desk.ec.europa.eu › en › ai-act
Training validation and testing data sets shall be relevant sufficiently representative and to the best extent possible free of errors
https://artificialintelligenceact.eu › article
High risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of
https://auroratrust.ai › blog › high-risk-ai
Article 10 of the EU AI Act is one of the most technically demanding obligations for high risk AI providers It requires
https://sota.io › blog
EU AI Act Article 10 mandates data governance and management practices for training validation and testing
https://www.praxikon.com › en › posts
Training validation and test data must be relevant sufficiently representative and to the best extent possible free of
https://govcompass.ai › ai-governance
Art 10 requires that the training validation and testing data for high risk AI systems meets quality criteria relevant sufficiently
https://confir.eu › eu-ai-act
Across all of these datasets must be relevant sufficiently representative as free of errors as possible and complete for their
https://www.regulatoryai.eu
It says the sets must be relevant sufficiently representative and to the best extent possible free of errors and complete in view of
https://aiact-navigator.com › blog
Article 10 of the EU AI Act sets binding data governance rules for high risk AI training validation and testing datasets
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