1st Workshop on Data Craft as Boundary AI Practice

Conference Paper (2025)
Author(s)

Maria Luce Lupetti (Politecnico di Torino)

Alessandro Ianniello (TU Delft - Human-Robot Interaction, TU Delft - Materializing Futures)

Willem Van Der Maden (University of Copenhagen)

Juri Sanni (Politecnico di Torino)

Eric Tron Gianet (Politecnico di Torino)

Minoru Matsui (Advanced Institute of Industrial Technology)

Dave Murray-Rust (TU Delft - Human Technology Relations)

Research Group
Materializing Futures
DOI related publication
https://doi.org/10.1145/3750069.3757880
More Info
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Publication Year
2025
Language
English
Research Group
Materializing Futures
Publisher
ACM
ISBN (electronic)
9798400721021
Reuse Rights

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Abstract

Data is central to AI performance, yet its curation remains an invisible and labour-intensive process, often leading to biases and reliability issues. While HCI has explored methods to improve data work, a growing body of research embraces data imperfections in an artistic vein to provoke reflection on human-AI relations. This workshop examines "Data Craft"- practices that creatively manipulate data to challenge conventional AI narratives and lower barriers to public engagement. By framing data craft as a boundary practice, we explore its potential to foster dialogue on AI capabilities, limitations, and societal impact. The workshop will investigate how data craft can be systematically integrated into participatory AI efforts, moving beyond artistic spaces to inform public debate. Through hands-on exploration, we aim to uncover strategies for leveraging data craft to engage diverse communities in shaping AI discourse.