Controls
Controls refer to the methods and techniques used to manage and regulate the behavior of a system or process. In data science and artificial intelligence, controls are used to ensure that algorithms and models behave as expected and produce accurate and reliable results. This involves setting up feedback loops, monitoring performance metrics, and implementing corrective actions when necessary. Controls are also used to manage data quality, ensure data privacy and security, and comply with regulatory requirements. In machine learning, controls are used to prevent overfitting, bias, and other issues that can affect the performance and fairness of models. Effective controls are essential for building trustworthy and ethical AI systems that can be used safely and responsibly.
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