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EU AI Act: Lack of transparency about data used to train AI models poses risks

On Friday 8th December, Parliament and Council negotiators reached a provisional agreement on the Artificial Intelligence Act*. This regulation aims to ensure that fundamental rights, democracy, the rule of law and environmental sustainability are protected from high-risk AI, while boosting innovation and making Europe a leader in the field.

However, rights groups caution** that the lack of transparency about data used to train the models poses risks to daily life because they act as basic structures for software developers building AI-powered services. Anjan Kundavaram, chief product officer at Precisely, believes data integrity is essential when it comes to utilising and unlocking the full potential of AI models:

“The provisional agreement outlines comprehensive rules for the use of trustworthy AI, highlighting concerns around whether or not organisations have AI-ready data in place for training models. To achieve this, businesses first need to integrate all their relevant and critical on-prem and cloud data into the datasets used to train their AI models – including complex data residing on mainframes – to minimise bias and improve the accuracy of their AI outcomes.

“Organisations also need to ensure that data meets rigorous quality metrics related to validity, accuracy, completeness, and standardisation, as well as implementing robust data governance frameworks to support efficient AI workflows that increase user satisfaction. Augmenting data with third-party datasets and spatial insights for additional context also allows AI to grasp nuances, maintain coherence, and generate contextually relevant responses.

“When it comes to AI models, data integrity is the key that unlocks the full potential. Data integration, data quality and governance, location intelligence, and data enrichment enable organisations to have access to accurate, consistent, and contextually relevant data that gives them confidence in their AI initiatives. As AI continues to evolve, data integrity will play a pivotal role in unlocking the true potential of AI models, allowing organisations to elevate AI initiatives to new heights, and deliver trustworthy and dependable results that propel their business toward success.”