AI and the essential role of data classification and governance.

Data classification is a crucial aspect of implementing artificial intelligence (AI) in the public sector. It involves categorizing data based on its nature, sensitivity, and impact. Effective data classification requires accuracy, consistency, privacy, security, accessibility, and scalability. Implementing data classification in the public sector involves developing clear data governance policies and classifying both existing and new data. Automation and AI tools can be used to streamline the classification process. Several tools and technologies, such as data loss prevention software, information governance tools, machine learning and AI-based tools, and cloud data management interfaces, are available to automate data classification. Regular reviews and updates are necessary to ensure the classification remains relevant. Data classification is essential for protecting sensitive information and improving the efficiency and effectiveness of public services. [Extracted from the article]

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