“Participatory harm auditing of generative-AI for use in cultural heritage” workshop data (1st and 5th August 2025)

O'Hara, E., Soufan, A., Bartliff, Z. , Kim, Y. , Simpson, K. and Moshfeghi, Y. (2026) “Participatory harm auditing of generative-AI for use in cultural heritage” workshop data (1st and 5th August 2025). [Data Collection]

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This workshop explored the ways in which CH professionals might audit the use of generative AI tools when used for the enrichment of descriptive metadata. For this workshop, we focused on:
- The potential for generative AI to support metadata creation and enrichment
- The concerns associated with this
- How these concerns might be identified and assessed to judge the appropriateness of an AI application
The overarching aim was to surface metrics that may be used in relation to Cultural Heritage Practitioners auditing generative AI applications.

Funding:
Keywords: Generative AI, Auditing, Participatory, Cultural Heritage
College / School: College of Arts & Humanities
Date Deposited: 07 Sep 2026 10:43
URI: https://researchdata.gla.ac.uk/id/eprint/2347

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O'Hara, E., Soufan, A., Bartliff, Z. , Kim, Y. , Simpson, K. and Moshfeghi, Y. (2026); “Participatory harm auditing of generative-AI for use in cultural heritage” workshop data (1st and 5th August 2025)

University of Glasgow

DOI: 10.5525/gla.researchdata.2347

Retrieved: 2026-09-07

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