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Making the world observable and accountable: An ethnomethodological inquiry into the distinction between illustration and exhaustion

Sociology

Making the world observable and accountable: An ethnomethodological inquiry into the distinction between illustration and exhaustion

L. Yu-cheng

Discover the intriguing relationship between artificial intelligence and human intelligence in this thought-provoking exploration by Liu Yu-cheng. This research highlights how AI and HI perceive the world differently, employing opposing logics that shape our understanding of human-machine interactions.

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Playback language: English
Abstract
This article explores the connection between artificial intelligence (AI) and trans-humanist posthumanism, proposing a distinction of "exhaustion/illustration" to understand AI's learning from human intelligence (HI) and vice versa. Ethnomethodology is used to analyze how AI and HI make the world "observable and accountable." The article argues that HI employs a logic of illustration, creating distance to understand the world, while AI uses a logic of exhaustion, aiming to eliminate distance through formalization. The author warns against overlooking the logic of illustration, as it's crucial for evaluating human-machine relationships.
Publisher
Humanities & Social Sciences Communications
Published On
Aug 29, 2022
Authors
Liu Yu-cheng
Tags
artificial intelligence
human intelligence
trans-humanism
ethnomethodology
human-machine relationship
exhaustion
illustration

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