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**Data quality** is another major focus. The **AI Act** emphasizes the importance of using high-quality data to train AI systems. This is especially true for high-risk applications. Using biased or incomplete data can lead to unfair outcomes and perpetuate stereotypes. The regulation requires that data used to train AI systems be relevant, representative, and free of bias. Developers must also take steps to identify and mitigate any biases in their datasets. This ensures the systems are fair and produce reliable results.
