Anna Munster
I'm a writer, artist and academic interested in: critical machine learning, radical empiricism, process philosophy and art; computational cultures and theory, radical ecologies of perception, art and politics. I like making audiovisual environments that alter experience. I sing early music when I can!
less
Uploads
Papers by Anna Munster
We ask, then, what is empirically playing out in the observational processes of deep learning architectures that cannot be accounted for by either its apparent nominalism or its claims to objective realism to be located in the data? How might an understanding of the experience of AI allow us to value the forms of ‘perception’ - observation, classification, detection, recognition – performed by AI as entangled with yet differentially propagating from human ones? Experience, as William James suggests passes along paths of perception that shade off in gradients of anticipation, and intermediate shoals of memory and habit. It is at once ongoing, diverging, accumulating, partially organised but always incomplete. We suggest that a radical empiricist approach to machine learning, drawing on James, might be useful in getting us beyond critiquing the (human) epistemological biases of AI, taking us someway toward an understanding of the relationality of its modes of ‘perception’.