<i>Language Is Leaving Me</i>: An AI Exploration of Epigenetic or Inherited Trauma of Cultures of Diaspora

Abstract Language Is Leaving Me, An AI Cinematic Opera of the Skin is a mixed-reality performance installation that focuses on AI, algorithmic rendering, sound, and biometrics through the lens of epigenetic, or otherwise inherited, traumatic memories of diasporic cultures. It examines multilingual and multi-visual presentations of simple text prompts, commonly referred to as “prompt engineering,” and how, when combined with image-to-image AI visual comparisons, these comparisons reveal critical biases and structural flaws in image rendering, sourcing, and interpretation. These fault lines point toward difficulties for the ability of emerging visual taxonomy to represent nonquantifiable human experiences across cultures and how nonquantifiable human emotions are vulnerable when viewed through the lens of machine learning algorithmic interpretations.

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Publication Details

Journal
Leonardo
Published
2025-01-01
DOI
https://doi.org/10.1162/leon.a.96
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Language Is Leaving Me: An AI Exploration of Epigenetic or Inherited Trauma of Cultures of Diaspora

Ellen Pearlman
Leonardo
Computational and Text Analysis Methods
article

Language Is Leaving Me: An AI Exploration of Epigenetic or Inherited Trauma of Cultures of Diaspora

Ellen Pearlman
article en

Abstract

Abstract Language Is Leaving Me, An AI Cinematic Opera of the Skin is a mixed-reality performance installation that focuses on AI, algorithmic rendering, sound, and biometrics through the lens of epigenetic, or otherwise inherited, traumatic memories of diasporic cultures. It examines multilingual and multi-visual presentations of simple text prompts, commonly referred to as “prompt engineering,” and how, when combined with image-to-image AI visual comparisons, these comparisons reveal critical biases and structural flaws in image rendering, sourcing, and interpretation. These fault lines point toward difficulties for the ability of emerging visual taxonomy to represent nonquantifiable human experiences across cultures and how nonquantifiable human emotions are vulnerable when viewed through the lens of machine learning algorithmic interpretations.

LeonardoVol. 58(5)
Waldkrankenhaus Rudolf Elle (DE)
Openalex Percentile: Top 72%
Computational and Text Analysis Methods
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