X-gram and/as techsposure
Spelling out the climate consequences of generative AI
DOI:
https://doi.org/10.33621/jdsr.v6i440480Keywords:
research-creation, techsposure, generative AI, climate crisisAbstract
How can generative AI’s entanglement with climate crisis be made visible? This question catalyzed a research-creational intervention, called X-gram, that emblematizes this paper’s theoretical contribution, a concept I call techsposure. Combining the words “technology” and “exposure,” techsposure is a method by which a technology’s affordances are made to expose its own material, infrastructural, environmental, or climate consequences. Put another way, techsposure occurs when tech tells on itself in a particularly poetically-just kind of way. Broadly, this article argues that research-creational interventions are urgently required ethical tools in our scholarly toolkits. They equip us to creatively destabilize Big Tech’s charting of bleak climate futures and to engage audiences in imagining, as Natalie Loveless (2019) puts it, how the world could be organized differently.References
Bateman, A. (2022, April 20). Landscapes of the Arctic from a southern city. Heliotrope. https://www.heliotropejournal.net/helio/landscapes-of-the-arctic
Belkhir, L., & Elmeligi, A. (2018). Assessing ICT global emissions footprint: Trends to 2040 & recommendations. Journal of Cleaner Production, 177, 448-463. https://doi.org/10.1016/j.jclepro.2017.12.239
Bender, E.M., Gebru, T. McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 610-623. https://doi.org/10.1145/3442188.3445922
Betancourt, M. (2016). Glitch art in theory and practice. Routledge.
Borgdorff, H. (2012). The conflict of the faculties: Perspectives on artistic research and academia. Leiden University Press.
Boucher, P. (2021, July 2). What if we chose new metaphors for artificial intelligence? European Parliamentary Research Service. https://epthinktank.eu/2021/07/02/what-if-we-chose-new-metaphors-for-artificial-intelligence-science-and-technology-podcast/
Chan, J.T.K. (2021). NLP Project - Text Summarization of IPCC Report. https://github.com/jon-tk-chan/ipcc_nlp_analysis
Chapman, O., & Sawchuk, K. (2012). Research-creation: Intervention, analysis and ‘family resemblances.’ Canadian Journal of Communication, 37(1), 5-26. https://doi.org/10.22230/cjc.2012v37n1a2489
Chow, A.R., & Perrigo, B. (2023, February 17). The AI arms race is changing everything. Time. https://time.com/6255952/ai-impact-chatgpt-microsoft-google/
CLEAR. (2017, September 1). Pollution is colonialism. https://civiclaboratory.nl/2017/09/01/pollution-is-colonialism/
Cooper, Z.G.T. (2020). Alchemical infrastructures: Making blockchain in Iceland [Video]. https://www.alchemicalinfrastructures.com/exhibit/spaces
Croker, T.D. (2020). Formation of the cloud: History, metaphor, and materiality [Unpublished doctoral disseration]. Virginia Tech.
Cubitt, S. (2017). Finite media. Duke University Press.
Davies, T. (2019). Slow violence and toxic geographies: “Out of sight” to whom? Environment and Planning C: Politics and Space, 40(2), 409-427. https://doi.org/10.1177/2399654419841063
Dean, J. (2020). About Google’s approach to research publication. https://docs.google.com/document/d/1f2kYWDXwhzYnq8ebVtuk9CqQqz7ScqxhSIxeYGrWjK0/edit
Deibert, R.J. (2020). Reset: Reclaiming the internet for civil society. Anansi.
Dobbe, R., & Whittaker, M. (2019, October 17). AI and climate change: How they’re connected, and what we can do about it. AI Now. https://ainowinstitute.org/publication/ai-and-climate-change-how-theyre-connected-and-what-we-can-do-about-it
Gaboury, J. (2018). Critical unmaking: Toward a queer computation. In J. Sayers (Ed.), The Routledge companion to media studies and digital humanities (pp. 483-491). Routledge.
Google AI. (n.d.). Artificial intelligence at Google: Our principles. https://ai.google/principles/
Haider, J., & Rödl, M. (2023). Google Search and the creation of ignorance: The case of climate crisis. Big Data & Society, 10(1), 1-12. https://doi.org/10.1177/20539517231158997
Hao, K. (2020, December 4). We read the paper that forced Timnit Gebru out of Google. Here’s what it says. MIT Technology Review. https://www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/
Hogan, M. (2018). Big data ecologies. Ephemera, 18(3), 631-657. https://ephemerajournal.org/sites/default/files/pdfs/contribution/18-3hogan.pdf
Hogan, M. (2015). Data flows and water woes: The Utah Data Center. Big Data & Society, 2(2), 1-12. https://doi.org/10.1177/2053951715592429
Hwang, T., & Levy, K. (2015, January 15). ‘The cloud’ and other dangerous metaphors. The Atlantic. https://www.theatlantic.com/technology/archive/2015/01/the-cloud-and-other-dangerous-metaphors/384518/
Intergovernmental Panel on Climate Change. (2023). The intergovernmental panel on climate change. https://www.ipcc.ch/
Intergovernmental Panel on Climate Change. (2021). AR6 climate change 2021: The physical science basis (summary for policy makers). https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM.pdf
Jobin, A. Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. arXiv. https://doi.org/10.48550/arXiv.1906.11668
Jobin, A., & Ziewitz, M. (2018, March 6). Organic search: How metaphors help cultivate the web. Digital Society Blog. https://www.hiig.de/en/organic-search-metaphors-help-cultivate-web/
Johnson, K. (2021, April 10). Black women, AI, and overcoming historical patterns of abuse. VentureBeat. https://www.media.mit.edu/articles/black-women-ai-and-overcoming-historical-patterns-of-abuse/
Johnson, J. (2019, October 29). Is the US losing the artificial intelligence arms race? The Conversation. https://theconversation.com/is-the-us-losing-the-artificial-intelligence-arms-race-124969
Kelleher, T., & Males, A.M. (2020). Public relations [Canadian edition]. Oxford University Press.
Khan, A.A., Badshah, S., Liang, P., Khan, B., Waseem, M., Niazi, M., & Akbar, M.A. (2021). Ethics of AI: A systematic literature review of principles and challenges. arXiv. https://doi.org/10.48550/arXiv.2109.07906
Kirschenbaum, M. (2016). Track changes: A literary history of word processing. Belknapp Press of Harvard University Press.
Krivy, M. (2023). Digital ecosystem: The journey of a metaphor. Digital Geography and Society, 5, 1-9. https://doi.org/10.1016/j.diggeo.2023.100057
Liboiron, M. (2021). Pollution is colonialism. Duke University Press.
Loftus, F. (2021). Conjuring landscapes [Multimedia project]. https://floftus.glitch.me/conjuring.html
Loveless, N. (2019). How to make art at the end of the world: A manifesto for research-creation. Duke University Press.
Low-Carbon Research Methods (2022). DIY methods 2022. https://www.diymethods.net/
Mansell, R. (2012). Imagining the internet: Communication, innovation, and governance. Oxford University Press.
Maxwell, R., & Miller, T. (2012). Greening the media. Oxford University Press.
Meacham, S. (2023, September 8). A race to extinction: How great power competition is making artificial intelligence existentially dangerous. Harvard International Review. https://hir.harvard.edu/a-race-to-extinction-how-great-power-competition-is-making-artificial-intelligence-existentially-dangerous/
Microsoft (2023, January 23). Microsoft and OpenAI extend partnership. https://blogs.microsoft.com/blog/2023/01/23/microsoftandopenaiextendpartnership/
Microsoft. (n.d.). Principles and approach. https://www.microsoft.com/en-us/ai/principles-and-approach
Nakamura, L. (2011). Economies of digital production in East Asia: iPhone girls and the transnational circuits of cool. Media Fields Journal, 2. http://mediafieldsjournal.org/economies-of-digital/
OpenAI. (2018, April 9). OpenAI charter. https://openai.com/charter
Parker, M. (2017). The people’s cloud [Video series]. https://thepeoplescloud.org/
Parker, M. (2014). The cloud is more than air and water [Audiovisual installation]. https://www.earthkeptwarm.com/the-cloud-is-more-than-air-and-water/
Pasek, A. (2019). Managing carbon and data flows: Fungible forms of mediation in the cloud. Culture Machine, 18. https://culturemachine.net/vol-18-the-nature-of-data-centers/managing-carbon/
Pichai, S. (2018, June 7). AI at Google: Our principles. https://blog.google/technology/ai/ai-principles/
Roose, K. (2023, February 3). How ChatGPT kicked off an AI arms race. The New York Times. https://www.nytimes.com/2023/02/03/technology/chatgpt-openai-artificial-intelligence.html
Schiffer, Z. (2021, March 5). Timnit Gebru was fired from Google—then the harassers arrived. The Verge. https://www.theverge.com/22309962/timnit-gebru-google-harassment-campaign-jeff-dean
Schneider, R. (2021). Glitch. In Thylstrup, N., Agostinho, D., Ring, A., D'Ignazio, C., & Veel, K. (Eds.), Uncertain archives: Critical keywords for big data (pp. 259-270). MIT Press.
Social Sciences and Humanities Research Council. (2021, May 4). Definition of terms. https://www.sshrc-crsh.gc.ca/funding-financement/programs-programmes/definitions-eng.aspx#a22
Stark, L. (2014, May 19). Come on feel the data (and smell it). The Atlantic. https://www.theatlantic.com/technology/archive/2014/05/data-visceralization/370899/
Starosielski, N., & Walker, J., (2016). Sustainable media: Critical approaches to media and environment. Routledge.
Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and policy considerations for deep learning in NLP. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 3645–3650. https://doi.org/ 10.18653/v1/P19-1355
Sutherland, B. (2022). Strategies for degrowth computing. LIMITS ’22: Workshop on Computing within Limits. https://computingwithinlimits.org/2022/papers/limits22-final-Sutherland.pdf
Tousignant, B. (2021, October 13). The climate does not exist: Picturing impacts of the climate crisis with AI, one address at a time. https://mila.quebec/en/article/this-climate-does-not-exist-picturing-impacts-of-the-climate-crisis-with-ai-one-address-at-a-time/
Tsing, A.L. (2015). The mushroom at the end of the world: On the possibility of life in capitalist ruins. Princeton University Press.
United Nations Environment Programme. (2021a). Emissions gap report 2021: The heat is on. United Nations Environment Programme and United Nations Environment Programme Copenhagen Climate Centre. https://www.unep.org/resources/emissions-gap-report-2021
United Nations Environment Programme. (2021b, March 19). With new pact, tech companies take on climate change. https://www.unep.org/news-and-stories/story/new-pact-tech-companies-take-climate-change
Varini, F.S., Boyd-Graber, J., Ciaramita, M., Leippold, M. (2021). ClimaText: A dataset for climate change topic detection. arXiv. https://doi.org/10.48550/arXiv.2012.00483
Vincent, J. (2021, December 8). DeepMind tests the limits of large AI language systems with 280-billion-parameter model. The Verge. https://www.theverge.com/2021/12/8/22822199/large-language-models-ai-deepmind-scaling-gopher
Wallenborn, J.T. (2022, May 17). AI as a flying blue brain? How metaphors influence our visions of AI. Digital Society Blog. https://www.hiig.de/en/ai-metaphors/
Webersinke, N., Kraus, M., Bingler, J.A., & Leippold, M. (2022). ClimateBERT: A pretrained language model for climate-related text. arXiv. https://arxiv.org/pdf/2110.12010.pdf
White, J.M., & Lidskog, R. (2022). Ignorance and the regulation of artificial intelligence. Journal of Risk Research, 25(4), 488-500. https://doi.org/10.1080/13669877.2021.1957985
Wyatt, S. (2021). Metaphors in critical Internet and digital media studies. New Media & Society, 23(2), 406–416. https://doi.org/10.1177/1461444820929324

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