Subverting Characters Stereotypes: Exploring the Role of AI in Stereotype Subversion

Xiaohan Feng, Makoto Murakami
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Abstract

The Aim of this paper is to explore different ways of using AI to subvert stereotypes more efficiently and effectively. It will also enumerate the advantages and disadvantages of each approach, helping creators select the most appropriate method for their specific situations. AI opens up new possibilities, enabling anyone to effortlessly generate visually stunning images without the need for artistic skills. However, it also leads to the creation of more stereotypes when using large amounts of data. Consequently, stereotypes are becoming more prevalent and serious than ever before. Our belief is that we can use this situation in reverse, aiming to summarize stereotypes with AI and then subvert them through elemental exchange. In this study, we have attempted to develop a less time-consuming method to challenge character stereotypes while embracing the concept of "exchange." We selected two character archetypes, namely the "tyrant" and the "mad scientist," and summarized their stereotypes by generating AI images or asking ChatGPT questions. Additionally, we conducted a survey of real historical tyrants to gain insights into their behavior and characteristics. This step helped us comprehend the reasons behind stereotyping in artwork depicting tyrants. Based on this understanding, we made choices about which stereotypes to retain. The intention was to empower the audience to better evaluate the identity of the character. Finally, the two remaining character stereotypes were exchanged, and the design was completed. This paper documents the last and most time-consuming method. By examining a large number of sources and examining what stereotypical influences were used, we were able to achieve a greater effect of subverting stereotypes. The other method is much less time-consuming but somewhat more random. Whether one chooses by subjective experience or by the most frequent choices, there is no guarantee of the best outcome. In other words, it is the one that best guarantees that the audience will be able to quickly identify the original character and at the same time move the two characters the furthest away from the original stereotypical image of the original. In conclusion, if the designer has sufficient time, ai portrait + research or chatGPT + research can be chosen. If there is not enough time, the remaining methods can be chosen. The remaining methods take less time and the designer can try them all to get the desired result.
颠覆人物刻板印象:探索AI在颠覆刻板印象中的作用
本文的目的是探索使用人工智能更有效地颠覆刻板印象的不同方法。它还将列举每种方法的优点和缺点,帮助创建者根据他们的具体情况选择最合适的方法。人工智能开辟了新的可能性,使任何人都可以毫不费力地生成视觉上令人惊叹的图像,而无需艺术技能。然而,当使用大量数据时,它也会导致创建更多的构造型。因此,陈规定型观念比以往任何时候都更加普遍和严重。我们的信念是,我们可以反过来利用这种情况,旨在用人工智能总结刻板印象,然后通过元素交换颠覆它们。在这项研究中,我们试图开发一种更省时的方法,在接受“交换”概念的同时挑战角色刻板印象。我们选择了两个角色原型,即“暴君”和“疯狂科学家”,并通过生成AI图像或向ChatGPT提问来总结他们的刻板印象。此外,我们对历史上真实的暴君进行了调查,以深入了解他们的行为和特征。这一步帮助我们理解了在描绘暴君的艺术作品中刻板印象背后的原因。基于这种理解,我们选择保留哪些刻板印象。这样做的目的是为了让观众更好地评价角色的身份。最后将剩下的两种人物定型进行交换,完成设计。本文记录了最后一种也是最耗时的方法。通过检查大量的资源和检查使用了哪些刻板印象的影响,我们能够实现颠覆刻板印象的更大效果。另一种方法耗时少得多,但在某种程度上更具随机性。无论一个人是根据主观经验还是根据最频繁的选择来选择,都不能保证最好的结果。换句话说,它是最能保证观众能够快速识别出原始角色,同时使两个角色离原始的刻板印象最远的角色。综上所述,如果设计师有足够的时间,可以选择ai portrait + research或者chatGPT + research。如果时间不够,可以选择其余的方法。剩下的方法花费的时间更少,设计师可以尝试所有方法来获得想要的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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