2026
As Slow As Possible: Manual Transcription of 160 Hours of Video in the Age of AI as a Path to Experiencing the Present
HEJNAROVÁ, KateřinaBasic information
Original name
As Slow As Possible: Manual Transcription of 160 Hours of Video in the Age of AI as a Path to Experiencing the Present
Authors
HEJNAROVÁ, Kateřina
Edition
Vanishing Acts: Artificial Intelligence, Performative Knowledge, Sustainable Memory, University of Malta, Valletta, Malta, 2026
Other information
Language
English
Type of outcome
Presentations at conferences
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
Marked to be transferred to RIV
No
Organization unit
Theatre Faculty
Keywords in English
Artificial Intelligence, Frank Daniel, Digital Archives, Presence, Empathy, Screenwriting pedagogy
Links
Teoretická a umělecká východiska Františ, research and development project.
Changed: 1/6/2026 03:13, MgA. Kateřina Hejnarová
Abstract
In the original language
The development of artificial intelligence suddenly forces us to think about the essence of things we previously took for granted. If AI can generate a technically mature work, what is the essence of artistic creation? If it can effectively summarize the content of an explanation and immediately suggest a set of creative exercises, what is the essence of art education in academies? This essay is based on my study of the extensive video archive of lectures of Frank Daniel – an influential Czech-American screenwriter and film professor. I draw on B. Eldagsen’s reflections on promptography and I return to the idea that the tool should be perceived as a co-creator of the work. Through M. Buber’s concept of presence, I then explain why I cannot use the AI tool in the context of my research project. The time I spent transcribing allows me to get closer to the I-Thou relationship, that is essential to my screenwriting understanding of Frank Daniel as a character, and to be aware of the essence of Daniel's pedagogical influence, the core of which ultimately lies outside the scope of AI.