一个基层科员的AI烦恼

Core Viewpoint - The article discusses the integration of AI into public service work, highlighting both the efficiency gains and the challenges faced by employees as they adapt to new technologies [7][9][24]. Group 1: AI Integration in Public Service - AI has been introduced into the daily operations of public service, significantly changing workflows and increasing the volume of work handled by employees [6][9]. - Employees initially experienced a reduction in overtime due to AI's ability to handle basic tasks, but this was short-lived as the complexity of work increased with AI's integration [13][14]. - The use of AI tools has led to a shift in roles, with employees becoming intermediaries and coordinators rather than primary creators of content [22][24]. Group 2: Efficiency vs. Quality - While AI can generate drafts and assist in document preparation, the quality of AI-generated content often requires significant human revision, leading to additional workload [11][17]. - Employees have reported that AI can handle routine tasks effectively, but complex inquiries still necessitate human intervention, indicating that AI cannot fully replace human roles [14][19]. - The reliance on AI has created a paradox where employees must spend more time training and verifying AI outputs, which can negate the initial efficiency gains [15][20]. Group 3: Employee Adaptation and Challenges - Employees are required to familiarize themselves with various AI tools, which has led to increased training demands and a need for continuous adaptation [9][24]. - The integration of AI has raised concerns about data security and the adequacy of existing hardware to support AI applications, complicating the transition [18][19]. - Despite the challenges, a significant majority of employees believe that AI has improved their work efficiency, reflecting a general acceptance of AI's role in public service [23][24].