The Black Box Book. Archives and Curatorship in the Age of Transformation of Art Institutions
KapitolaDigital curating and AI curating: The Network of Terms
Rok vydání: 2022https://doi.org/10.5817/CZ.MUNI.M280-0225-2022-3
Reference
Alexander, A. (2022). What the Robot Saw? Retrieved from https://what-the-robot-saw.com/
Dekker, A. (2015). Harm van den Dorpel: Choosing Complexity. Metropolis M. Dec/Jan 2015/2016. Retrieved from https://www.metropolism.com/nl/features/24054_harm_van_den_dorpel
Dekker, A. (2018). Collecting and Conserving Net Art. Moving beyond Conventional Methods. Routledge: London and New York.
Dekker, A. & Tedone, G. (2019). Networked Co-Curation: An Exploration of the Socio-Technical Specificities of Online Curation, Arts 2019, 8(3), 86. Retrieved from https://doi.org/10.3390/arts8030086
Ghidini, M. (2019). Curating on the Web: The Evolution of Platforms as Spaces for Producing and Disseminating Web-Based Art. Retrieved from https://www.researchgate.net/publication/334154862_Curating_on_the_Web_The_Evolution_of_Platforms_as_Spaces_for_Producing_and_Disseminating_Web-Based_Art
Goriunova, O. (2012). Art Platforms and Cultural Production on the Internet. New York: Routledge.
Grau, O. (ed.) et al. (2017). Museum and Archive on the Move, Changing Cultural Institutions in The Digital Era. Berlin/Boston: De Gruyter, 2017.
Grau, O. & Coones, W. (2018). The Living Archive of Digital Arts – Web 2.0 & 3.0 and the Bridging Thesaurus. In EVA Berlin 2018. Electronic Media & Art, Culture, and History (proceedings). Berlin, pp. 230 – 237.
Hageback, N. & Hedblom, D. (2022). AI for Arts.CRC Press.
Joler, V. & Pasquinelli, M. (2020). Nooscope. The Rise of AI Statistical Modelsas Instruments of Knowledge and Diagram of Machine Learning Errors, Biases and Limitations. Retrieved from https://nooscope.ai/NOOSCOPE.pdf
Krysa, J. (2006). Curating Immateriality. The Work of the Curator in the Age of Network Systems. Autonomedia (DATA browser 03).
Krysa, J. (2008). Software Curating: The Politics of Curating in/as (an) Open System(s). Ph.D. dissertation. University of Plymouth.
Krysa, J. & Impett, L. (2021). The Next Biennial Should be Curated by a Machine – A Research Proposition. Retrieved from https://www.biennial.com/journal/issue-9/the-next-biennial-should-be-curated-by-a-machine-a-research-proposition-
Manovich, L. & Arielli, E. (2021). Artificial Aesthetic. A Critical Guide to AI, media and design. Retrieved from http://manovich.net/content/04-projects/165-artificial-aesthetics-book/artificial_aesthetics.chapter_1.pdf
Pasquinelli, M. (2019). Three thousand years of algorithmic rituals. e-fux, Issue #101. Retrieved from http://worker01.e-flux.com/pdf/article_273221.pdf (cit. 26. 12. 2022)
Pasquinelli, M. & Joler, V. (2021). The Nooscope Manifested: Artificial Intelligence as Instrument of Knowledge Extractivism. AI & Soc 36, 1263–1280 (2021). https://doi.org/10.1007/s00146-020-01097-6
Spratt, E. L. (2017). Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image. In: Critical Approaches to Digital Art History, ed. by Angela Dressen and Lia Markey, in: KunstTexte.de. 4/2017, p. 1–16. Retrieved from https://edoc.hu-berlin.de/handle/18452/19403
Tedone, G. (2019). Curating The Networked Image: Circulation, Commodification, Computation. Ph.D. dissertation. South Bank University, London.
Zylinska, J. (2020). AI Art. Machine Visions and Warped Dreams. London: Open Humanities Press. Retrieved from http://openhumanitiespress.org/books/download/Zylinska_2020_AI-Art.pdf