How can we use artistic concepts such as colour and hue to characterise the outputs of machine learning models, and their impact in enabling or hindering our understanding of the environment?

How can the latent space of a neural network be used to generate speculative visions for the future of environmental photography?

How can we visualise near futures for the environment when the machine learning model will be far more complex and deal with more uncertainty and vagueness than anything we could program?