mlsanityData to 7 Oct 2026

Lessons in co-creation: the inconvenient truths of inclusive sign language technology development

arXiv 2408.13171 ↗First posted 23 Aug 2024cs.CLcited by 2

Not on the map. Why?

Abstract (arXiv)

In the era of AI-driven language technologies, the participation of deaf communities in sign language technology development, often framed as co-creation, is increasingly emphasized. We present a reflexive case study of two Horizon 2020 projects on sign language machine translation (2021- 2023), conducted with a EUD, a European-level deaf-led NGO. Using participant observation, internal documentation, and collaborative analysis among the authors, we interrogate co-creation as both a practice and a discourse. We offer five lessons for making co-creation consequential: 1) recognise and resource deaf partners invisible labor, 2) manage expectations via accessible science communication, 3) crip co-creation by dismantling structural ableism, 4) diversify participatory methods to address co-creation fatigue and intersectionality, and 5) redistribute power through deaf leadership. We contribute an empirically grounded account of how co-creation plays out in multi-partner AI projects, and actionable implications for design that extend to participatory AI with minoritized language and disability communities.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 2 of its 53 references that are in the map. First posted on arXiv 23 Aug 2024.

Builds on

2 of 53 references.

References · 2

  1. 2022Machine Translation from Signed to Spoken Languages: State of the Art and Challengescited by 20
  2. 2024Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendascited by 19

Built on by

Cited by year

Citing papers per year: 2025: 2.

2 papers.