Seeing the Unborn: Artificial Intelligence and the Iconographic Visibility of Pregnancy in Early Modern Iberian Religious Art

IF 0.5 0 HUMANITIES, MULTIDISCIPLINARY
Arts Pub Date : 2026-05-18 DOI:10.3390/arts15050106
Jose Luis Bartha
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Abstract

This article examines the visibility and invisibility of pregnancy in early modern Iberian religious art through artificial intelligence. While sacred imagery in Catholic Spain and Portugal between the 14th and 17th centuries includes representations of the pregnant Virgin Mary and scenes related to maternity, such depictions are often symbolically coded and devoid of embodied detail. Using the Astica Vision AI system, a two-phase methodology was applied to a total of fifty-two artworks depicting the Virgin of Expectation, the Visitation, and the Nativity of the Virgin. In the first phase, images were submitted without context to observe whether the AI could independently identify pregnancy or maternal affect. In the second phase, the same images were reanalyzed with iconographic metadata. Findings show that AI frequently fails to detect gestation in sacred images, and even when context is provided, rarely describes bodily signs or relational affect. These findings reflect the visual logic inherent to sacred art, which tends to prioritize theological meaning over biological or emotional realities. The inclusion of a modern secular photograph of pregnancy highlights the contrast: there, AI readily identifies maternal embodiment, emotion, and connection. This contrast reveals how cultural and doctrinal frameworks shape visual codes of legibility. Rather than a neutral observer, the AI becomes a diagnostic tool, amplifying iconographic silences and revealing how sacred art disciplines perception. The article proposes a new methodological role for machine vision in the humanities: not to mimic human reading, but to uncover what remains unseen in visual culture.
看到未出生:早期现代伊比利亚宗教艺术中的人工智能和怀孕的图像可视性
本文通过人工智能考察了早期现代伊比利亚宗教艺术中怀孕的可见性和不可见性。虽然14世纪至17世纪天主教西班牙和葡萄牙的神圣意象包括怀孕的圣母玛利亚和与母性有关的场景,但这些描绘通常是象征性的编码,缺乏具体细节。使用Astica视觉人工智能系统,一种两阶段的方法被应用于总共52件描绘圣母期待、探访和圣母诞生的艺术品。在第一阶段,在没有背景的情况下提交图像,观察人工智能是否能够独立识别怀孕或母性影响。在第二阶段,使用图像元数据对相同的图像进行重新分析。研究结果表明,人工智能经常无法检测到神圣图像中的妊娠,即使提供了上下文,也很少描述身体体征或关系影响。这些发现反映了神圣艺术固有的视觉逻辑,它倾向于优先考虑神学意义,而不是生物或情感现实。现代世俗怀孕照片的加入凸显了这种对比:在那里,人工智能很容易识别出母亲的化身、情感和联系。这种对比揭示了文化和教义框架如何塑造易读的视觉代码。AI不再是中立的观察者,而是一种诊断工具,放大了图像的沉默,揭示了神圣的艺术是如何训练感知的。这篇文章提出了机器视觉在人文学科中的一种新的方法论角色:不是模仿人类的阅读,而是揭示视觉文化中未被发现的东西。
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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来源期刊
Arts
Arts HUMANITIES, MULTIDISCIPLINARY-
自引率
40.00%
发文量
104
审稿时长
11 weeks
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