In recent years, artificial intelligence (AI) has been increasingly introduced into public services. Governments around the world are using AI systems to assist with tasks such as processing applications, managing traffic systems, and predicting public health risks. As these technologies continue to develop, interest in expanding their use in government services is growing.
　　　Supporters argue that AI can greatly improve efficiency in the public sector. Many government offices handle large amounts of data every day, which often leads to delays and human error. AI systems can process information quickly and accurately, allowing services such as welfare payments or visa applications to be handled faster. In addition, using AI may reduce costs over time, as fewer workers may be needed for repetitive tasks. This could allow governments to spend more money on other important public needs.
　　　However, critics raise serious concerns about the use of AI in public services. AI systems make decisions based on data, but this data may include bias. As a result, some groups could be treated unfairly. Furthermore, AI decisions are often difficult to explain, making it hard for citizens to challenge them. There are also worries about data privacy, since public services collect sensitive personal information. These issues raise questions about whether AI can be safely and fairly trusted in government operations.