英文原作者Alex Prompter,
译者按:reverse prompting 在国内部分表述中指"逆向提示词",是"通过提供成熟的工程或项目示例,引导AI逆向进行解构,并用于当前项目的搭建"。reverse prompting在本文中内涵有所不同,故翻译上加以区别。
APSR — pp. 1-22 2026-06-22 Original Portraits of Power: Facial Appearance and the Tacit Domain of Political Selection in China
JUNYAN JIANG, SONGPO YANG
Abstract
As the epitome of modern, rational organizations, bureaucracies are often believed to select candidates based on rules and reason. We argue that intuitive—and even instinctive—assessments of candidates’ external appearances sometimes underpin seemingly rational and calculated decisions. Using a novel, AI-based algorithm that learns and reproduces human assessments of facial appearances at scale, we examine how perceived facial traits influence the careers of over four thousand mid- and senior-level Chinese officials. We find that officials who look more competent, trustworthy, and less aggressive enjoy significantly better promotion prospects and lower purge risk than their peers. Warmth-related traits (e.g., trustworthiness and non-aggressiveness) are especially valued at higher-level promotions and for male candidates. Additional analyses, including conjoint experiments with real officials, demonstrate that appearances’ influence over selection preferences is comparable to performance or political connections. These findings challenge the prevailing meritocratic and relation-based theories of bureaucratic selection and highlight the role of impressions in the workings of government institutions.
PAR — 2026-06-04
Original Which Type of AI ‐Based Public Services Are Citizens More Willing to Accept?
Qing Miao, Lin Han Yu
有些教材写得让人很头疼。内容是好内容,领域内也都认,但翻开就是读不下去——逻辑跳得厉害,术语一堆,关键的地方只有一句"由此可得",课后题像是默认你修过别的什么课。我见过不少人反复翻开又合上,最后觉得自己大概不是学这个的料。
近期在学习一些陌生领域时,我无意间摸索出一种与大模型合作的新方式。它未必适合所有人,但在我自己身上效果出奇地好,让"学完一个东西"的扎实感强了很多。我把这种方式叫做造书。
我所见的人们,大抵是越来越像了。
这并非说相貌,而是那眉宇间的一股气,那唇齿间的一些话,都仿佛从一个模子里刻出来的。朋友圈里晒着的,必是精巧的吃食与遥远的风景,配几句不咸不淡的感慨;视频里立着的,必是无可挑剔的妆容与编排妥当的台词,偶尔掉一滴泪,也恰在音乐扬起的那一瞬。人人都在笑着,却不知为何而笑;人人都在说着,却听不见自己的声音。我每每见了这等景象,便无端地想起庙里的泥塑来——金身彩绘,端的庄严,只是没有气息。
PMR — pp. 1-25 2026-04-16 Original Framing AI in public innovation: the engagement-manipulation nexus
Adedapo Adebajo, Ngozi Okpara, Aisha Kolawole
Abstract
AI integration into public service innovation creates a paradox: promising enhanced engagement while risking manipulation. This paper develops the Engagement-Manipulation Nexus, a conceptual framework using Framing Theory to analyse this tension. We adapt Framing Theory to the algorithmic era, arguing AI is both an object to be framed and an agent disseminating frames. AI innovation trajectories are forged through communicative struggles among actors deploying competing frames. This paper contributes a novel theoretical framework, theorizes public innovation as communicatively constructed, and provides a diagnostic tool for practitioners. Critical frame awareness is essential for steering AI towards public value and democratic governance.