TY - CPAPER
KW - artificial intelligence
KW - Documentation
KW - paradata
AU - Isto Huvila
AU - Harko Verhagen
AU - Susanne Tienken
AU - Andreas Widholm
AU - Mats Fridlund
AU - Magnus Nermo
AU - Anna Blåder
AB - This paper explores the critical need to document the use of Artificial Intelligence (AI) in humanities research. While AI offers efficiency and analytical power, its application raises concerns about transparency, bias, and reproducibility. Existing documentation frameworks often emphasise technical aspects, overlooking the human and contextual dimensions vital to humanities scholarship. Drawing on cross-disciplinary literature, the paper advocates for integrating paradata (process-related meta-information) to capture both technical and human facets of AI use. It proposes shifting the focus from speculative future needs to documenting the transformation AI is intended to achieve within specific research contexts. Practical strategies include combining automated tools with reflective documentation practices and providing clear explanations of the purpose and expected outcomes of AI use. The paper calls for infrastructural support and a rethinking of documentation sufficiency to enhance understanding, reuse, and accountability in humanities research.
BT - Huminfra 2025
CY - Stockholm
N2 - This paper explores the critical need to document the use of Artificial Intelligence (AI) in humanities research. While AI offers efficiency and analytical power, its application raises concerns about transparency, bias, and reproducibility. Existing documentation frameworks often emphasise technical aspects, overlooking the human and contextual dimensions vital to humanities scholarship. Drawing on cross-disciplinary literature, the paper advocates for integrating paradata (process-related meta-information) to capture both technical and human facets of AI use. It proposes shifting the focus from speculative future needs to documenting the transformation AI is intended to achieve within specific research contexts. Practical strategies include combining automated tools with reflective documentation practices and providing clear explanations of the purpose and expected outcomes of AI use. The paper calls for infrastructural support and a rethinking of documentation sufficiency to enhance understanding, reuse, and accountability in humanities research.
PB - Stockholm University
PP - Stockholm
PY - 2025
SP - 57
EP - 62
T2 - Huminfra 2025
TI - Documenting AI Use in Humanities Research
ER -