arXiv cs.CY· Amalia Foka·· 12 小时前AI 评分22
用认知游戏解读文生图模型偏见：Playing Bias 框架
Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
AI 导读
研究者提出一套三阶段认知游戏框架，用于解读文生图（T2I）模型如何通过姿态、镜头、服装、道具和场景设定固化“X 长什么样”的默认印象。框架包含 Interpret（艺术史式细看 AI 输出）、Interrogate（反意图提示词）和 Expose（固定主题、仅改变偏见线索的 BiasSlot 配对提示词）三个环节。在本科美术生的试点中，这些游戏让讨论从印象式反应转向基于视觉证据的简明可证假设。
正文 · 原文
Abstract:Text-to-image (T2I) systems do not merely render prompts; they circulate defaults for "what X looks like," shaping recognition through pose, camera, costume, props, and setting. While technical audits quantify disparities, they rarely cultivate the literacy needed to argue how images assemble stereotypes and confer authority. This paper translates a three-stage, humanities-informed framework into a set of epistemic games that make this cultural work visible and debatable: Interpret (art-historical close looking with AI outputs), Interrogate (counter-intent prompting as artistic exploration), and Expose (creative misuse through paired prompts with a constant motif and a BiasSlot rule, in which only the bias cue varies). In a pilot with undergraduate fine-arts students, the games shifted discussion from impressionistic reactions to concise, warranted hypotheses grounded in visual evidence, supported by lightweight classroom instruments that enabled reproducibility and structured collaboration. We argue that such game-based approaches foster critical literacy across educational contexts, equipping learners to recognize, discuss, and contest how T2I models encode bias.
| Comments: | 11 pages. Accepted at iLRN 2026, the 12th International Conference of the Immersive Learning Research Network, Athens, Greece, June 2026. Video presentation: this https URL |
| Subjects: | Computers and Society (cs.CY); Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC) |
| ACM classes: | K.3.1; K.4.2; J.5 |
| Cite as: | arXiv:2610.32159 [cs.CY] |
| (or arXiv:2610.32159v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32159 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Amalia Foka [view email]
[v1]
Fri, 23 Oct 2026 04:50:16 UTC (650 KB)
来源：arXiv cs.CY · arxiv.org