Résumés
Abstract
The Consultation Machine was our third attempt to create a workshop for publics to engage and debate AI futures. Our efforts devolved from sincere attempts to use strategic foresight to shape AI policy, towards AI-assisted future-making, and finally to the Consultation Machine. We document these three different prototypes to explain the evolution of their design, shaped by participatory methods, and to critically reflect on the results. Our efforts add to a growing literature investigating how AI changes democratic policy making in technoscientific capitalist systems, wherein democracy may yet become just another “problem” to be streamlined and automated by algorithmic “solutions.”
Résumé
La « Consultation Machine » constituait notre troisième tentative de créer un atelier permettant au grand public de s’impliquer et de débattre de l’avenir de l’IA. Nos efforts ont évolué : d’abord, nous avons sincèrement cherché à utiliser la prospective stratégique pour façonner les politiques en matière d’IA, puis nous nous sommes orientés vers une conception de l’avenir assistée par l’IA, pour aboutir finalement à la « Consultation Machine ». Nous présentons ici ces trois prototypes distincts afin d’expliquer l’évolution de leur conception, façonnée par des méthodes participatives, et de mener une réflexion critique sur les résultats obtenus. Nos travaux s’ajoutent à une littérature croissante qui examine comment l’IA modifie l’élaboration des politiques démocratiques dans les systèmes capitalistes technoscientifiques, où la démocratie pourrait bien devenir un simple « problème » de plus à rationaliser et à automatiser par des « solutions » algorithmiques.
Parties annexes
Bibliography
- Amoore, Louise. “Machine Learning Political Orders.” Review of International Studies, 2022 vol. 49, no. 1, pp. 20–36, doi.org/10.1017/S0260210522000031.
- Amoore, Louise et al. “A World Model: On the Political Logics of Generative AI.” Political Geography, vol. 113, Aug. 2024, doi.org/10.1016/j.polgeo.2024.103134.
- Ananny, Mike. “Making Generative Artificial Intelligence a Public Problem. Seeing Publics and Sociotechnical Problem-Making in Three Scenes of AI Failure.” Javnost - The Public, vol. 31, no. 1, 2024, pp. 89–105, doi.org/10.1080/13183222.2024.2319000.
- Attard-Frost, Blair et al. “The Governance of Artificial Intelligence in Canada: Findings and Opportunities from a Review of 84 AI Governance Initiatives.” Government Information Quarterly, vol. 41, no. 2, June 2024, doi.org/10.2139/ssrn.4414212.
- Barry, Andrew. Political Machines: Governing a Technological Society. Athlone Press, 2001.
- Bottici, Chiara. “Imagination, Imaginary, Imaginal: Towards a New Social Ontology?” Social Epistemology, vol. 33, no. 5, 2019, pp. 433–441, doi.org/10.1080/02691728.2019.1652861.
- Bourne, Clea. “AI Hype, Promotional Culture, and Affective Capitalism.” AI and Ethics, vol. 4, no. 3, 2024, pp. 757–769, doi.org/10.1007/s43681-024-00483-w.
- Brandusescu, Ana, and Renée E. Sieber. (2025). “Missed Opportunities in AI Regulation: Lessons from Canada’s AI and Data Act.” Data & Policy, vol. 7, 2025, e40, doi.org/10.1017/dap.2025.17.
- Chartier-Edwards, Nicolas et al. “If (world2vec) Then vec2politics: On Machine Learning and the Performativity of Recursive Power.” In Algorithms, Artificial Intelligence and Beyond. Routledge, 2024.
- Chehoudi, Rafaa. “Artificial Intelligence and Democracy: Pathway to Progress or Decline?” Journal of Information Technology & Politics, March 2025, pp. 1–16, doi.org/10.1080/19331681.2025.2473994.
- Clement, Andrew. “AIDA’s “Consultation Theatre” Highlights Flaws in a So-called Agile Approach to AI Governance.” Centre for International Governance Innovation, 6 November 2023, www.cigionline.org/articles/aidas-consultation-theatre-highlights-flaws-in-a-so-called-agile-approach-to-ai-governance/.
- Costanza-Chock, Sasha. “Design Justice: Towards an Intersectional Feminist Framework for Design Theory and Practice.” Proceedings of the Design Research Society 2018, Posted 22 January 2020, papers.ssrn.com/sol3/papers.cfm?abstract_id=3189696.
- Dandurand, Guillaume et al. “Freezing Out: Legacy Media’s Shaping of AI as a Cold Controversy.” Big Data & Society, vol. 10, no. 2, 2023, doi.org/10.1177/20539517231219242.
- de Oliveira, Pedro J.S.V. “Design at the Earview: Decolonizing Speculative Design through Sonic Fiction.” Design Issues, vol. 32, no. 2, Spring 2016, pp. 43–52, www.jstor.org/stable/43830698.
- Dubois, Elizabeth, and Fenwick McKelvey. “Canada: Building Bot Typologies.” In Computational Propaganda: Political Parties, Politicians, and Political Manipulation on Social Media, edited by Samuel C. Woolley and Philip N. Howard, Oxford University Press, 2018, pp. 64–85.
- Dunne, Anthony, and Fiona Raby. Speculative Everything: Design, Fiction, and Social Dreaming. The MIT Press, 2013.
- Gebru, Timnit, and Émile P. Torres. “The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence.” First Monday, vol. 29, no. 1, April 2024, doi.org/10.5210/fm.v29i4.13636.
- Gehl, Robert W., and Maria Bakardjieva (Eds.). Socialbots and Their Friends: Digital Media and The Automation of Sociality, Routledge, 2017.
- Goode, Luke, and Michael Godhe. “Beyond Capitalist Realism – Why We Need Critical Future Studies.” Culture Unbound, vol. 9, no. 1, 2017, Article 1, doi.org/10.3384/cu.2000.1525.1790615.
- Gourlet, Pauline et al. “Reclaiming Artificial Intelligence Accounts: A Plea for a Participatory Turn in Artificial Intelligence Inquiries.” Big Data & Society, vol. 11, no. 2, 2024, doi.org/10.1177/20539517241248093.
- Government of Canada. “Consultations on the AI Strategy for the Federal Public Service: What We Heard.” Government of Canada, 2025, www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/consultations-ai-strategy-federal-public-service-what-we-heard.html.
- Habermas, Jürgen. Legitimation Crisis. Beacon Press, 1975.
- Herz, Michael. (2020). “Fraudulent Malattributed Comments in Agency Rulemaking.” Cardozo Law Review, vol. 42, no. 1, 2020, pp. 1–66, cardozolawreview.com/fraudulent-malattributed-comments-in-agency-rulemaking/.
- Hong, Sun-ha. “Technofutures in Stasis: Smart Machines, Ubiquitous Computing, and the Future That Keeps Coming Back.” International Journal of Communication, vol. 15, no. 0, 2021, pp. 1940–1960, ijoc.org/index.php/ijoc/article/view/15697.
- Jasanoff, Sheila. Future Imperfect: Science, Technology, and the Imaginations of Modernity. University of Chicago Press, 2015, chicago.universitypressscholarship.com/view/10.7208/chicago/9780226276663.001.0001/upso-9780226276496-chapter-1.
- Jones, Maurice, and Fenwick McKelvey. “Deconstructing Public Participation in the Governance of Facial Recognition Technologies in Canada.” AI & SOCIETY, vol. 40, 2024, pp. 1837–1850, doi.org/10.1007/s00146-024-01952-w.
- Jones, Maurice, and Alexandre Saunier. “Wilding AI as Collective Research-Creation: Resisting Narrative and Technological Closure.” Artnodes, Dec. 2025, pp. 1–11. raco.cat, doi.org/10.7238/artnodes.v0i37.432928.
- Klim, Evan. “Evan Solomon asks ChatGPT ‘I’m Canada’s Minister of Artificial Intelligence. What should I do?’” The Beaverton, 15 May 2025, thebeaverton.com/2025/05/evan-solomon-asks-chatgpt-im-canadas-minister-of-artificial-intelligence-what-should-i-do/.
- Lewis, Jason E. “The Future Imaginary.” In The Routledge Handbook of CoFuturisms, edited by Taryne Jade Taylor et al. Routledge, 2023, pp. 11-22.
- Lindgren, Simon (Ed.). Handbook of Critical Studies of Artificial Intelligence. Edward Elgar Publishing, 2023.
- Loveless, Natalie. How to Make Art at the End of the World: A Manifesto for Research-Creation. Duke University Press, 2019.
- Lupton, Deborah, and Ash Watson. “Towards More-Than-Human Digital Data Studies: Developing Research-Creation Methods.” Qualitative Research, vol. 21, no. 4, 2020, pp. 463–480, doi.org/10.1177/1468794120939235.
- Mager, Astrid, and Christian Katzenbach. “Future Imaginaries in the Making and Governing of Digital Technology: Multiple, Contested, Commodified.” New Media & Society, vol. 23, no. 2, 2021, pp. 223–236, doi.org/10.1177/1461444820929321.
- Marres, Noortje. “Why Map Issues? On Controversy Analysis as a Digital Method.” Science, Technology, & Human Values, vol. 40, no. 5, 2015, pp. 655–686, doi.org/10.1177/0162243915574602.
- Marres, Noortje et al. “AI as Super-Controversy: Eliciting AI and Society Controversies with an Extended Expert Community in the UK.” Big Data & Society, vol. 11, no. 2, 2024, doi.org/10.1177/20539517241255103.
- McKelvey, Fenwick. SimPolitics: America’s Quest to Solve Politics with Computers. MIT Press, 2026.
- McKelvey, F. “Let’s Base AI Debates on Reality, Not Extreme Fears About the Future.” The Conversation, 3 April 2023, theconversation.com/lets-base-ai-debates-on-reality-not-extreme-fears-about-the-future-203030.
- McKelvey, Fenwick et al. “(Un)Stable Diffusions: The Publics, Publicities, and Publicizations of Generative AI.” Journal of Digital Social Research, vol. 6, no. 4, 2024, doi.org/10.33621/jdsr.v6i440453.
- McKelvey, Fenwick, and Jonathan Roberge. “Recursive Power.” In Handbook of Critical Studies of Artificial Intelligence, edited by Simon Lindgren, Edward Elgar Publishing, 2023, pp. 21–32.
- McKelvey, Fenwick et al. Northern Lights and Silicon Dreams: AI Governance in Canada (2011-2022) [Monograph]. Algorithmic Media Observatory, 10 April 2024, doi.org/10.11573/spectrum.library.concordia.ca.00995548.
- Nagy, Peter, and Gina Neff. “Conjuring Algorithms: Understanding the Tech Industry as Stage Magicians.” New Media & Society, vol. 26, no. 9, 2024, pp. 4938–4954, doi.org/10.1177/14614448241251789.
- Palmås, Karl, and Nicholas Surber. “Legitimation Crisis in Contemporary Technoscientific Capitalism.” Journal of Cultural Economy, vol. 15, no. 3, 2022, pp. 373–379, doi.org/10.1080/17530350.2022.2065331.
- Pasquale, Frank. New Laws of Robotics: Defending Human Expertise in the Age of AI. The Belknap Press of Harvard University Press, 2020.
- Paul, R. (2022). Can critical policy studies outsmart AI? Research agenda on artificial intelligence technologies and public policy. Critical Policy Studies, 16(4), pp. 497–509, doi.org/10.1080/19460171.2022.2123018.
- Paul, Regine et al. (Eds.). Handbook on Public Policy and Artificial Intelligence. Edward Elgar publishing, 2024.
- Powell, Alison, and Fenwick McKelvey. “AI Policymaking as Drama: Stages, Roles, and Ghosts in AI Governance in the United Kingdom and Canada.” Journal of Digital Social Research, vol. 6, no. 4, 2024, doi.org/10.33621/jdsr.v6i440468.
- Powers, Devon. “Towards a Futurist Cultural Studies.” International Journal of Cultural Studies, vol. 23, no. 4, 2020, pp. 451–457, doi.org/10.1177/1367877920913569.
- Raley, Rita. Tactical Media. University of Minnesota Press, 2009.
- Ricci, Donato. “Tensing the Present: An Annotated Anthology of Design Techniques to Inquire into Public Issues.” Diseña, vol. 14, 2019, doi.org/10.7764/disena.14.68-99.
- Rindzevičiūtė, Eglė. “AI, A Wicked Problem for Cultural Policy? Pre-Empting Controversy and the Crisis of Cultural Participation.” International Journal of Cultural Policy, vol. 28, no. 7, 2022, pp. 829–844, doi.org/10.1080/10286632.2022.2137151.
- Roberge, Jonathan, and Michael Castelle (Eds.). The Cultural Life of Machine Learning: An Incursion into Critical AI Studies. Palgrave Macmillan, 2020, doi.org/10.1007/978-3-030-56286-1.
- Roberts, Sarah T., and Hogan, Mél. “Left Behind: Futurist Fetishists, Prepping and the Abandonment of Earth.” B2o: An Online Journal, vol. 4, no. 2, 2019, escholarship.org/uc/item/8sr8n99w.
- Sanders, Nathan E., and Schneier, Bruce. “Opinion | How ChatGPT Hijacks Democracy.” The New York Times, 15 January 2023, www.nytimes.com/2023/01/15/opinion/ai-chatgpt-lobbying-democracy.html.
- Sharpe, Bill. Three Horizons: The Patterning of Hope. 2nd ed., Triarchy Press, 2020.
- Slone, Isabel B. “Bathurst business owners are using AI-generated ‘concerned residents’ to fight a proposed bus lane.” Toronto Life, 21 May 2025, torontolife.com/city/bathurst-business-owners-are-using-ai-generated-concerned-residents-to-fight-a-proposed-bus-lane/.
- Springgay, Stephanie, and Zofia Zaliwska. “Diagrams and Cuts: A Materialist Approach to Research-Creation.” Cultural Studies ↔ Critical Methodologies, vol. 15, no. 2, 2015, pp. 136–144, doi.org/10.1177/1532708614562881.
- Stark, Luke. “Algorithmic Psychometrics and the Scalable Subject.” Social Studies of Science, vol. 48, no. 2, 2018, pp. 204–231, doi.org/10.1177/0306312718772094.
- Suchman, Lucy. “The Uncontroversial ‘Thingness’ of AI.” Big Data & Society, vol. 10, no. 2, 2023, doi.org/10.1177/20539517231206794.
- Thorpe, Charles, and Jane Gregory. “Producing the Post-Fordist Public: The Political Economy of Public Engagement with Science.” Science as Culture, vol. 19, no. 3, 2010, pp. 273–301, doi.org/10.1080/09505430903194504.
- Truman, Sarah E. Feminist Speculations and the Practice of Research-Creation: Writing Pedagogies and Intertextual Affects. Routledge, 2021, doi.org/10.4324/9781003104889.
- van der Vlist, Fernando, et al. “Big AI: Cloud Infrastructure Dependence and the Industrialisation of Artificial Intelligence.” Big Data & Society, vol. 11, no. 1, 2024, doi.org/10.1177/20539517241232630.
- White, Rory. “A Weaponized AI Chatbot is Flooding City Councils with Climate Misinformation.” Canada’s National Observer: Climate News, 27 May 2025, www.nationalobserver.com/2025/05/28/investigations/weaponized-ai-chatbot-city-councils-climate-misinformation.
- Winner, Langdon. The Whale and the Reactor: A Search for Limits in an Age of High Technology. University of Chicago Press, 1986.
- Yeung, Karen. “Algorithmic Regulation: A Critical Interrogation.” Regulation & Governance, vol. 12, no. 4, 2018, pp. 505–523, doi.org/10.1111/rego.12158.

