Why are regular updates important for data quality under the EU AI Act?

Regular updates are crucial for maintaining the accuracy and relevance of data under the EU AI Act. As data can become outdated over time, the quality and reliability of AI models that rely on this data can deteriorate if updates are not performed. Ensuring that data reflects the most current and pertinent information allows for more accurate predictions and better decision-making by the AI systems.

Accurate and relevant data is foundational for compliance with the EU AI Act, which emphasizes the importance of promoting trustworthy and ethical AI. Regular updates help identify and rectify any inaccuracies or biases that may have emerged since the initial data collection. This process is vital in upholding the principles of fairness and accountability that underpin the regulations, ultimately enabling organizations to build AI systems that respect individuals' rights and societal norms.

By contrast, while collecting data legally is essential, it does not encompass the ongoing need for data to remain accurate or relevant post-collection. Training models is a significant aspect, but it is the quality of the data that directly influences their effectiveness. Reducing costs might be a consideration for organizations, but it does not relate to the fundamental necessity of keeping data updated to ensure compliance and effectiveness under the EU AI Act.