- PhMuseum 2022 Photography Grant
Tell me what to see
Dates2019 - Ongoing
“Tell me what to see” investigates the impact of new technologies on human behaviour and experience. In search of the future, the project focuses on the implications of data, algorithms and artificial intelligence.
Our life is getting increasingly controlled by algorithms as vast amounts of data are being created, captured and analysed. They can save lives, simplify things and structure chaos. However, there is great concern that they may place too much control in the hands of corporations and governments, reinforce bias, create filter bubbles, facilitate mass surveillance and lead to greater social imbalances.
It is humans who shape the world and create new technologies. And it is humans who decide which data is used for AI systems. The project explores what the world might look like when all aspects of our lives have been redesigned and re-constructed.
“By encoding our ideas and intentions into machines, we make them literal constructors of the world” (James Bridle, New Dark Age, 2018)
The images of the project have been created in 3 different approaches:
1. Taken with a camera in physical space by observing everyday life and searching for images that seem to reveal the impact of technology, as well as searching for images that show the intervention of man on the environment.
2. staged and constructed images created in the studio that look like they were computer generated
3. and images generated by AI.
I have chosen this approach to generate an archive of the future with which I tell an associative story. I play with the question of what is real or fake. Who is tricking whom and who has sovereignty over the machine. But it is also about perception and digital viewing habits. How and what does a machine see? Who creates the better digital images, the machine or me in the studio. Who is in control?
In “Tell me what to see” I construct an artificial world, a new reality reflecting on the future and human existence in an attempt to make the invisible visible.