Demo: ISOTTA - A Slow Exploration of Power Relations in Writing with Language Models

Michele Cremaschi; M Menendez-Blanco; Antonella De Angeli

doi:10.1145/3605390.3610826

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Demo: ISOTTA - A Slow Exploration of Power Relations in Writing with Language Models

Conference proceeding

Peer reviewed

Demo: ISOTTA - A Slow Exploration of Power Relations in Writing with Language Models

Michele Cremaschi, M Menendez-Blanco and Antonella De Angeli

CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, pp.1-5

The 15th Biannual Conference of the Italian SIGCHI Chapter, CHItaly 2023 (Turin, 20/09/2023–22/09/2023)

2023

DOI: https://doi.org/10.1145/3605390.3610826

Handle:

https://hdl.handle.net/10863/53486

Abstract

Slow Technology

Research Through Design

Interactive art

Creative AI

Critical design

This paper presents ISOTTA (Intelligent System for Organic Tweeting and Thoughtful Artistry), an unconventional artifact aimed at investigating creative writing with Large Language Models. ISOTTA embodies slow technology principles to highlight the productivity disparities between humans and computers and foster a discussion on the resulting implications. ISOTTA provokes critical reflections along the continuum between collaboration and competition in Human-AI interaction in creative endeavors and beyond. These insights mainly address power dynamics regulating the sharing of resources between humans and machines.

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https://doi.org/10.1145/3605390.3610826View

Details

Title: Demo: ISOTTA - A Slow Exploration of Power Relations in Writing with Language Models
Creators: Michele Cremaschi - Free University of Bozen-Bolzano
M Menendez-Blanco - Free University of Bozen-Bolzano
Antonella De Angeli - Free University of Bozen-Bolzano
Publication Details: CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, pp.1-5
Editor(s): Gena C, De Russis L, Spano D, Lanzilotti R, Di Mascio T, Prandi C, Andolina S
ISBN: 9798400708060
Conference: The 15th Biannual Conference of the Italian SIGCHI Chapter, CHItaly 2023 (Turin, 20/09/2023–22/09/2023)
Publisher: Association for Computing Machinery
Number of pages: 5
Identifiers: 979-8-4007-0806-0
(UNIBZ)70708536
991007399651401241
Web of Science ID: WOS:001701722200051
Scopus ID: 2-s2.0-85173700573
Academic Unit: Faculty of Engineering
Language: English
Resource Type: Conference proceeding
Author Names String: Cremaschi M, Menendez-Blanco M, De Angeli A
Additional Description: Editors/Supervisors: Gena C, De Russis L, Spano D, Lanzilotti R, Di Mascio T, Prandi C, Andolina S

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