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UID:pretalx-wha-annual-meeting-korea-2026-3D7QJY@pretalx.com
DTSTART;TZID=KST:20260627T152000
DTEND;TZID=KST:20260627T154000
DESCRIPTION:As historians increasingly rely on digital tools to document li
 ved experience at scale\, artificial intelligence (AI) transcription has e
 merged as a practical response to the labor-intensive work of oral history
 . Yet the global turn toward automated transcription raises fundamental qu
 estions about how historical knowledge is shaped when spoken testimony is 
 rendered into text by algorithmic systems. This paper examines these issue
 s through a case study of the Korean Memories Project\, a crowdsourced ora
 l history initiative documenting the experiences of elderly South Koreans 
 aged eighty and above who lived through Japanese colonial rule\, the Korea
 n War\, and rapid postwar modernization—processes deeply embedded in glo
 bal and transnational histories.\n\nUsing fifty interviews recorded in div
 erse community settings\, this study compares two AI transcription systems
 : ClovaNote\, developed specifically for Korean-language speech\, and Turb
 oScribe\, based on OpenAI’s Whisper model. A mixed-methods analysis of r
 epresentative transcripts evaluates transcription accuracy alongside quali
 tative patterns that affect historical interpretation. While both systems 
 generate text suitable for indexing and large-scale archival use\, they di
 ffer in omission patterns and error types. More significantly\, both syste
 ms consistently normalize dialect\, remove repetitions and hesitations\, a
 nd restructure speech to enhance narrative coherence.\n\nWe argue that thi
 s process of textual standardization reflects a broader epistemological te
 nsion between AI systems optimized for readability and information extract
 ion and oral history methodologies that treat pauses\, affect\, and speech
  patterns as historically meaningful. By centering Korean-language testimo
 ny from elderly speakers whose linguistic practices often fall outside dom
 inant AI training data\, this paper highlights how AI-mediated transcripti
 on reshapes what becomes legible in global historical archives. The paper 
 concludes by proposing a hybrid\, human-centered framework for AI-assisted
  transcription applicable to large-scale oral history projects worldwide.
DTSTAMP:20260412T123924Z
LOCATION:Room 403 PC Desk (Seats 30)
SUMMARY:Between Speech and Text: AI Transcription\, Oral History\, and the 
 Korean Memories Project - Alice Wrigglesworth
URL:https://pretalx.com/wha-annual-meeting-korea-2026/talk/3D7QJY/
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