Precisely comments on AI model risks

Rights groups continue to urge caution over the lack of transparency about data used to train AI-powered service models and how it poses risks to daily life, despite Parliament and Council negotiators reaching a provisional agreement on the Artificial Intelligence Act on 8 December 2023.

With the regulation aiming to ensure that fundamental rights, democracy, the rule of law and environmental sustainability are protected from high-risk Artificial Intelligence (AI), while boosting innovation and making Europe a leader in the field, we ask Anjan Kundavaram, Chief Product Officer, Precisely (www.precisely.com) what the regulation means for 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 organizations 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 minimize bias and improve the accuracy of their AI outcomes.”

“Organizations also need to ensure that data meets rigorous quality metrics related to validity, accuracy, completeness, and standardization, 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 organizations 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 organizations to elevate AI initiatives to new heights, and deliver trustworthy and dependable results that propel their business toward success.”