Core Viewpoint - The article discusses the mixed opinions among grassroots workers regarding the use of AI for writing year-end summaries, highlighting both the potential efficiency gains and the risks of superficiality and formality in reporting [1][2]. Group 1: AI Utilization in Report Writing - Some grassroots workers believe that using AI can enhance writing efficiency, allowing them to focus more on actual needs of the public [1]. - Concerns exist that over-reliance on AI could lead to a disconnect from real issues, resulting in reports that are more about form than substance [1]. - The choice to use AI stems from the overwhelming workload, with reports indicating that workers are tasked with multiple documents within tight deadlines [1]. Group 2: Nature of Year-End Summaries - Year-end summaries often contain repetitive content, making it challenging for workers to provide meaningful insights, leading to a tendency to produce generic responses [2]. - A notable example is provided by a young village leader whose straightforward and genuine summary resonated with the public, contrasting with the typical formalized reports [2]. - The article emphasizes the need for quality over quantity in summaries, advocating for a shift in focus from bureaucratic demands to authentic community engagement [2]. Group 3: Recommendations for Improvement - Recent directives from higher authorities aim to reduce the burden of excessive documentation and improve the quality of reports by addressing the issues of formality and redundancy [2]. - The article suggests that reducing the number of required reports and emphasizing genuine, grassroots-focused summaries could mitigate the tendency for falsification and superficiality [2][3]. - It is argued that AI should serve as a tool to empower workers rather than replace their authentic contributions, ensuring that year-end summaries reflect real community service [3].
锐评|年终总结AI“代笔”?莫让基层忙于做“纸面文章”
Xin Lang Cai Jing·2026-01-11 06:52