IDnow to create synthetic data for EU-funded AI ethics project

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IDnow to create synthetic data for EU-funded AI ethics project

IDnow has joined the ACHILLES project, an EU-funded initiative aimed at addressing ethical and technical challenges in artificial intelligence. With a budget of 8 million euros, the project involves 16 partners and focuses on improving AI efficiency and trust while ensuring compliance with European regulations. IDnow will leverage its expertise in identity verification to create synthetic data that adheres to privacy standards like GDPR.

The ACHILLES project aims to tackle significant issues in the biometrics industry, such as data scarcity and bias, by utilizing synthetic data. This approach is expected to enhance the robustness of algorithms while reducing reliance on real data, which is increasingly complicated by regulations like the EU's AI Act. The project will run for four years, with objectives that include developing ethical frameworks and optimizing data annotation processes.

• IDnow will create synthetic data for the ACHILLES project.

• The project aims to enhance AI efficiency and ethical compliance.

Key AI Terms Mentioned in this Article

Synthetic Data

Synthetic data is used to replace real data in AI training, addressing privacy and bias issues.

AI Ethics

AI ethics involves creating responsible and transparent AI systems that comply with regulations.

Data Annotation

Optimizing data annotation minimizes human labor while maintaining model performance in AI applications.

Companies Mentioned in this Article

IDnow

IDnow specializes in identity verification and will contribute to the ACHILLES project by creating synthetic data.

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