Soft Photography

Soft Photography

Soft Photography is a research project conducted by the Master of Photography at ECAL/University of Art and Design Lausanne with the support of the HES-SO. It aims to shed light on the role of human emotions in the creation and reception of images produced using generative Artificial Intelligence (AI) or computer-generated imagery (CGI).

Research project (2025) with Salomé Chatriot, Charlie Engman, Simon Lehner Milo Keller, Marco De Mutiis, Claus Gunti, Clément Lambelet, Giulia Bini, Simone Niquille

Assistants
Tanguy Morvan, Fabienne Watzke
Researchers
Ann-Christin Bertrand, Paolo Cirio, Kim Knoppers, Taisuke Koyama, Clothilde Morette
Know-how
Portrait, Machine learning (ML, AI)

Carried out from September 2025 to Spring 2026, this research aims to examine an unthought-of aspect of generative AI and CGI: the significance of human emotions, both in the creation of these tools (database annotation, software programming, cultural bias) and in the perception of the produced images (empathy, visual culture, subconsciousness) or their uses (capitalism of emotion, soft power, self-representation, political propaganda). The discussion and research surrounding the exponential development of AI technologies in visual culture often overlook this emotional component, even though it is structurally linked to these technologies, as they necessarily involve human apprehension. Unlike automated images, which frequently have an operational function and are only ‘seen’ by machines, images generated by AI and CGI are essentially created for humans, whether for social networks, advertising, industry, politics, or the artistic field.

Soft Photography aims to examine the role and function of emotions by analyzing these new photographic tools and looking at specific occurrences, such as memories reconstructed in CGI or AI. Far from strictly formal experimentation, these practices demonstrate the complex entanglement between emotion, subjectivity, technical processes, and vulnerability. The project, therefore, aims to map, analyze, and experiment with the place of emotions within these new practices.

 

Image: Clean Girl, ECAL/Mirielle Rohr, 2025

2425_S1_MAP1_Hampe-Elisa.jpg
It’s hard to understand what I really look like when my face looks different every other day, ECAL/Elisa Hampe, 2025
2425_S3_MAP2_Androni-Riccardo.jpg
Void, ECAL/Riccardo Androni, 2025
2425_S3_MAP2_Dai-Min.jpg
Sugar Season, ECAL/Min Dai, 2025
2425_S3_MAP2_Miyata-Eriko.jpg
A song from void, ECAL/Eriko Miyata, 2025
2425_S3_MAP2_Morkevicius-Visvaldas.jpg
Blind cats, ECAL/ Visvaldas Morkevicius, 2025
2425_S3_MAP2_Rohr-Mirielle_01.jpg
Money Making Child, ECAL/Mirielle Rohr, 2025
Project leader

Milo Keller

Research team

Giulia Bini
Marco de Mutiis 
Claus Gunti 
Milo Keller
Clément Lambelet

Lecturers

Salomé Chatriot
Charlie Engman
Simon Lehner

Contributors

Ann-Christin Bertrand
Simone C Niquille
Paolo Cirio
Kim Knoppers
Taisuke Koyama
Clothilde Morette

Assistants

Tanguy Morvan
Fabienne Watzke

Students

Riccardo Androni, IT
Elisa Azevedo, PT
Eva Bao Rivas, IT
Francesca Bergamini, IT
Min Dai, CN
Alix Debraine, CH
Lóa Fenzy, IS
Xiao Fu, CN
Nabarun Gogoi, IN
Elisa Hampe, IT
Doyoung Kim, KR
Binyu Lin, CN
Zhiyue Liu, CN
Andrey Lopatin, RU
Thomas Martin, UK
Jose Martinez Martin, MX
Daniel Martínez, ES
Eriko Miyata, JP
Visvaldas Morkevicius, LT
Gaia Pierobon, IT
Luna Pons, FR
Mirielle Rohr, DE
Clara Stote, BE 
Julieta Tarraubella, AR

Period

September 2024 – Spring 2026

Supported by

HES-SO, Réseau de Compétences Design et Arts Visuels RCDAV

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