Return to search

Fotografering med AI i bilden : En intervjustudie med svenska fotografer om det fotografiska yrket med teknologin artificiell intelligens

At the turn of the century, photographers started a transition from analogue to digital photography: a transition which took years to complete. The photographic landscape is now in a new period of development, with new AI-programs based on machine learning. These programs can be about (I) editing programs that aim to streamline the photographic workflow or correct pictures with technical flaws, such as reducing grain from a high ISO or enlarging pictures. The programs also incorporate (II) AI generated images based on prompting from an AI-artist, so called text-to-image programs like DALL-E 3, Midjourney, Stable Diffusion and Firefly 2. In this study we have done seven semi-structured interviews with Swedish photographers. We have used a postphenomenological theory based on Don Ihde’s philosophy. In analyzing the material from the interviews we have used narrative analysis. The results showed that photographers who worked in advertising, with organizations or clients had a higher tolerance for image manipulation with (II). These photographers valued effectiveness in their workflow and saw a larger need to adapt to new technology. While nature photographers valued authenticity and used (I) sparingly. Another result from the study was that Swedish photographers do not consider (II) photography and do not think that AI generated images should be allowed to compete in photo competitions, only in certain categories with only AI generated images.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:oru-111371
Date January 2024
CreatorsAvelin Belin, Adam, Geidemark, Oscar
PublisherÖrebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

Page generated in 0.0022 seconds