The Power of Poor AI: Exploring the Potential for Defiance\nand the Nature of Disruption

This article explores the concept of “Poor AI,” drawing inspiration from Hito Steyerl’s notion of “Poor Images,” and examines the hidden digital labor within artificial intelligence (AI) development, revealing how AI systems, fueled by data collected from the digital proletariat, shape a force with the potential to disrupt established norms and challenge hierarchies. The hidden labor behind AI’s efficiency and its alignment with capitalist interests is uncovered. This investigation sheds light on the paradox of AI’s power, which simultaneously empowers and diminishes human agency, and its acceleration of inequality within the digital economy.

Publication Details

Journal
Project Muse (Johns Hopkins University)
Published
2024-12-06
Primary Topic
Digital Economy and Work Transformation
Type
article
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article

The Power of Poor AI: Exploring the Potential for Defiance\nand the Nature of Disruption

Project Muse (Johns Hopkins University)
Digital Economy and Work Transformation
article

The Power of Poor AI: Exploring the Potential for Defiance\nand the Nature of Disruption

article en

Abstract

This article explores the concept of “Poor AI,” drawing inspiration from Hito Steyerl’s notion of “Poor Images,” and examines the hidden digital labor within artificial intelligence (AI) development, revealing how AI systems, fueled by data collected from the digital proletariat, shape a force with the potential to disrupt established norms and challenge hierarchies. The hidden labor behind AI’s efficiency and its alignment with capitalist interests is uncovered. This investigation sheds light on the paradox of AI’s power, which simultaneously empowers and diminishes human agency, and its acceleration of inequality within the digital economy.

Project Muse (Johns Hopkins University)
No poverty
Openalex Percentile: Top 29%
Digital Economy and Work Transformation
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The Power of Poor AI: Exploring the Potential for Defiance\nand the Nature of Disruption · Project Muse (Johns Hopkins University) (2024) | TGRS Research Map | TGRS