Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance

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Standard

Embodying the Algorithm : Exploring Relationships with Large Language Models Through Artistic Performance. / Jones, Mirabelle; Neumayer, Christina; Shklovski, Irina.

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. s. 1-24 654.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Jones, M, Neumayer, C & Shklovski, I 2023, Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance. i CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 654, Association for Computing Machinery, s. 1-24, The 2023 CHI Conference on Human Factors in Computing Systems, Hamburg, Hamborg, Tyskland, 23/04/2023. https://doi.org/10.1145/3544548.3580885

APA

Jones, M., Neumayer, C., & Shklovski, I. (2023). Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance. I CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (s. 1-24). [654] Association for Computing Machinery. https://doi.org/10.1145/3544548.3580885

Vancouver

Jones M, Neumayer C, Shklovski I. Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance. I CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2023. s. 1-24. 654 https://doi.org/10.1145/3544548.3580885

Author

Jones, Mirabelle ; Neumayer, Christina ; Shklovski, Irina. / Embodying the Algorithm : Exploring Relationships with Large Language Models Through Artistic Performance. CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. s. 1-24

Bibtex

@inproceedings{f3d6098f80dc481cb9b5871388a5c68a,
title = "Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic Performance",
abstract = "Despite the proliferation of research on how people engage with and experience algorithmic systems, the materiality and physicality of these experiences is often overlooked. We tend to forget about bodies. The Embodying the Algorithm1 project worked with artists to explore the experience of translating algorithmically produced performance instructions through human bodies. As performers interpreted the rules of engagement produced by GPT-3, they struggled with the lack of consideration the rules showed for the limits of the human body. Performers made sense of their experience through personification, reflexivity, and interpretation, which gave rise to three modes of relating with the algorithm – agonistic, perfunctory, and agreeable. We demonstrate that collaboration with algorithmic systems is ultimately impossible as people can only relate to algorithmic systems (a one-way relation) due to the material limitations of algorithmic systems for reciprocity, understanding, and consideration for the human body.",
author = "Mirabelle Jones and Christina Neumayer and Irina Shklovski",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544548.3580885",
language = "English",
pages = "1--24",
booktitle = "CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery",
note = "The 2023 CHI Conference on Human Factors in Computing Systems, CHI '23 ; Conference date: 23-04-2023 Through 28-04-2023",
url = "https://chi2023.acm.org",

}

RIS

TY - GEN

T1 - Embodying the Algorithm

T2 - The 2023 CHI Conference on Human Factors in Computing Systems

AU - Jones, Mirabelle

AU - Neumayer, Christina

AU - Shklovski, Irina

PY - 2023/4/19

Y1 - 2023/4/19

N2 - Despite the proliferation of research on how people engage with and experience algorithmic systems, the materiality and physicality of these experiences is often overlooked. We tend to forget about bodies. The Embodying the Algorithm1 project worked with artists to explore the experience of translating algorithmically produced performance instructions through human bodies. As performers interpreted the rules of engagement produced by GPT-3, they struggled with the lack of consideration the rules showed for the limits of the human body. Performers made sense of their experience through personification, reflexivity, and interpretation, which gave rise to three modes of relating with the algorithm – agonistic, perfunctory, and agreeable. We demonstrate that collaboration with algorithmic systems is ultimately impossible as people can only relate to algorithmic systems (a one-way relation) due to the material limitations of algorithmic systems for reciprocity, understanding, and consideration for the human body.

AB - Despite the proliferation of research on how people engage with and experience algorithmic systems, the materiality and physicality of these experiences is often overlooked. We tend to forget about bodies. The Embodying the Algorithm1 project worked with artists to explore the experience of translating algorithmically produced performance instructions through human bodies. As performers interpreted the rules of engagement produced by GPT-3, they struggled with the lack of consideration the rules showed for the limits of the human body. Performers made sense of their experience through personification, reflexivity, and interpretation, which gave rise to three modes of relating with the algorithm – agonistic, perfunctory, and agreeable. We demonstrate that collaboration with algorithmic systems is ultimately impossible as people can only relate to algorithmic systems (a one-way relation) due to the material limitations of algorithmic systems for reciprocity, understanding, and consideration for the human body.

U2 - 10.1145/3544548.3580885

DO - 10.1145/3544548.3580885

M3 - Article in proceedings

SP - 1

EP - 24

BT - CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

Y2 - 23 April 2023 through 28 April 2023

ER -

ID: 345718690