This blog is a repost from American City & County.

In an era where artificial intelligence (AI) is reshaping the landscapes of various sectors, its implementation in the public sector stands out for its potential to enhance efficiency, decision-making, and service delivery. However, the cornerstone of any effective AI system lies in its ability to process and analyze data accurately. This is where data classification becomes pivotal. Data classification is not just a technical procedure; it’s a strategic imperative that underpins the responsible and effective use of AI in public services. And this is always the centerpiece of AI discussion.

Some struggle with the meaning of data classification; after all, isn’t most stored data already organized into categories? This leads to better defining exactly what data classification is in the context of AI. Data classification involves categorizing data into different types, based on its nature, sensitivity, and the impact of its exposure or loss. This process helps in data management, governance, compliance and security. For AI applications, data classification ensures that algorithms are trained on well-organized, relevant and secure data sets, leading to more accurate and reliable outcomes.

Today, data managers in the public sector should focus on several key elements to ensure effective data classification, which includes the following:


Read the full article at https://www.americancityandcounty.com/2024/03/18/ai-and-the-essential-role-of-data-classification-and-governance/