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Case study from DNV.
European AI Scanner, the RegTech tool for EU AI Act compliance. It allows firms to identify and risk classify their AI systems to comply with the various regulatory obligations, namely Articles 2, 17, 9, 61 and 62.
Case study from Nvidia.
Case study from Advai.
Case study from IFOW.
Case study from Fairly AI.
Case study from Kairoi.
Case study from the Food Standards Agency.
NayaOne is a Sandbox-as-a-Service provider to tier 1 financial services institutions, world-leading regulators, and governments.
Case study from the The Alan Turing Institute.
Case study from Anekanta AI.
A developing framework through which the CDEI is analysing the governance of data-driven technology in the context of its work programme.
Weights & Biases provides an MLOps platform to help organisations gain auditable and explainable end-to-end machine learning workflows for reproducibility and governance.
The CDEI has published a report detailing the findings from the third wave of its Public Attitudes Tracker Survey, which monitors how attitudes towards data and AI vary over time.
Credo AI's Policy Pack for NYC LL-144 encodes the law’s principles into actionable requirements and adds a layer of reliability and credibility to compliance efforts.
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