From photography to the convoked image: AI, digital archaeology, and documentary
Main Article Content
Abstract
Two hundred years after the first photograph attributed to Nicéphore Niépce, visual culture faces a conceptual transformation: images generated by artificial intelligence challenge the categories through which photography has historically been understood. This essay argues that so-called “AI-generated photography” should not be conceived as an extension of photography, but as a convoked image: a visual form produced through the interaction of language, visual archives, statistical models, interfaces, and human imagination. Drawing on Jaron Lanier, Lev Manovich, Vilém Flusser, Jussi Parikka, Sarah Pink, Ian Goodfellow, Alec Radford, Luke Metz, Soumith Chintala, Jonathan Ho, Ajay Jain, and Pieter Abbeel, the article argues that these images are not taken, but requested, calculated, and made to appear. It proposes an anthropology of computational images and an archaeology of the convoked image to understand how AI constructs, reconstructs, and recodes possible worlds, as well as its implications for documentary practice, memory, social imagination, and contemporary artistic creation.
Article Details
References
Azoulay, A. A. (2008). The civil contract of photography. Zone Books.
Barthes, R. (1981). Camera lucida: Reflections on photography. Hill and Wang.
Benjamin, W. (2003). La obra de arte en la época de su reproductibilidad técnica. Ítaca.
Chatterjee, A. (2014). The aesthetic brain: How we evolved to desire beauty and enjoy art. Oxford University Press.
Chatterjee, A., & Vartanian, O. (2014). Neuroaesthetics. Trends in Cognitive Sciences, 18(7), 370–375. https://doi.org/10.1016/j.tics.2014.03.003
Damasio, A. R. (1994). Descartes’ error: Emotion, reason, and the human brain. Putnam.
Flusser, V. (2000). Towards a philosophy of photography. Reaktion Books.
Fontcuberta, J. (2016). La furia de las imágenes: Notas sobre la postfotografía. Galaxia Gutenberg.
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial networks. arXiv. https://doi.org/10.48550/arXiv.1406.2661
Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. arXiv. https://doi.org/10.48550/arXiv.2006.11239
Lanier, J. (2010). You are not a gadget: A manifesto. Alfred A. Knopf.
Manovich, L. (2001). The language of new media. MIT Press.
McGilchrist, I. (2009). The master and his emissary: The divided brain and the making of the Western world. Yale University Press.
Nichols, B. (2017). Introduction to documentary (3rd ed.). Indiana University Press.
Parikka, J. (2012). What is media archaeology? Polity.
Pearce, M. T., Zaidel, D. W., Vartanian, O., Skov, M., Leder, H., Chatterjee, A., & Nadal, M. (2016). Neuroaesthetics: The cognitive neuroscience of aesthetic experience. Perspectives on Psychological Science, 11(2), 265–279. https://doi.org/10.1177/1745691615621274
Pearson, J. (2019). The human imagination: The cognitive neuroscience of visual mental imagery. Nature Reviews Neuroscience, 20, 624–634. https://doi.org/10.1038/s41583-019-0202-9
Pink, S., Horst, H., Postill, J., Hjorth, L., Lewis, T., & Tacchi, J. (2016). Digital ethnography: Principles and practice. SAGE.
Radford, A., Metz, L., & Chintala, S. (2015). Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv. https://doi.org/10.48550/arXiv.1511.06434
Sontag, S. (1977). On photography. Farrar, Straus and Giroux.
