COMMONS-BASED AI: A SOCIOMETABOLIC CRITIQUE OF THE HEGEMONIC MODEL AND PATHS TO EMANCIPATION
DOI:
https://doi.org/10.56238/arev7n10-309Keywords:
Commons-Based AI, The Common, Sociometabolic Transformation, Emancipatory AI, Kairós Protocol, Collective GovernanceAbstract
This article advances a sociometabolic critique of the dominant artificial intelligence (AI) paradigm and articulates a transformative proposal for Commons-Based AI. Here, “commons-based” goes beyond resource management or infrastructure sharing: following Dardot & Laval (2017), the Common (le Commun) is conceptualized as an instituting praxis—a dynamic, collective process of self-governance, co-production, and social emancipation. Thus, the article frames AI not merely as a good to be managed, but as a field for instituting new social relations, democratic governance, and emancipatory sociometabolic transition. The argument integrates Marxian, feminist, and Southern epistemologies with practical cases, proposing a triadic framework—collective memory, dialogic governance, emancipatory purpose—and concrete mechanisms for funding, validation, and global equity. The Kairós Protocol is presented as a pioneering method for reflexive, dialogical human–AI co-authorship. By connecting theoretical innovation to lived practice, the article demonstrates that reorienting AI as a Common is both feasible and urgent for societal transformation.
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References
Altieri, M.A., 2018. Agroecology: The science of sustainable agriculture. Boca Raton, FL: CRC Press.
Benini, E.A., 2017. Sistema orgânico do trabalho. São Paulo: Ícone.
Benjamin, R., 2019. Race after technology: abolitionist tools for the new Jim Code. Cambridge, UK: Polity Press.
Bianchi, M. and Marin, L., 2023. Algorithmic governance and social emancipation: rethinking AI through critical praxis. AI & Society, 38(1), pp.103–115.
BigScience Workshop, 2022. BLOOM: open and transparent large language models for the public good. BigScience Workshop White Paper.
Brevini, B., 2022. The pedagogical politics of EdTech: neuroscience, gamification, and the automation of learning. Learning, Media and Technology, 47(1), pp.1–14.
Casilli, A., 2020. En attendant les robots: enquête sur le travail du clic. Paris: Seuil.
Chalmers, D., 1996. The conscious mind: in search of a fundamental theory. Oxford: Oxford University Press.
Clark, A., 2013. Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), pp.181–204.
Couldry, N. and Mejias, U.A., 2019. The costs of connection: how data is colonizing human life and appropriating it for capitalism. Stanford, CA: Stanford University Press.
Crawford, K., 2021. Atlas of AI: power, politics, and the planetary costs of artificial intelligence. New Haven, CT: Yale University Press.
Cubitt, S., 2020. Finite media: environmental implications of digital technologies. Durham, NC: Duke University Press.
Dagnino, R., 2014. Tecnologia social: ferramenta para construção de outra sociedade. São Paulo: Fundação Perseu Abramo.
Dardot, P. and Laval, C., 2017. Common: on revolution in the 21st century. London: Bloomsbury.
Dehaene, S., 2014. Consciousness and the brain: deciphering how the brain codes our thoughts. New York, NY: Viking.
Dencik, L., Hintz, A. and Cable, J., 2019. Towards Data Justice? The Ambiguity of Anti-Surveillance Resistance in Political Activism. Big Data & Society, 6(1), pp.1–12. https://doi.org/10.1177/2053951718823802.
Digital Public Goods Alliance, 2022. Public cloud solutions for cities: economic and technological feasibility study. Geneva: Digital Public Goods Alliance.
Dyer-Witheford, N., 2015. Economic transitions and cognitive capitalism. Journal of Post Keynesian Economics, 37(1), pp.157–173.
Federici, S., 2012. Revolution at point zero: housework, reproduction, and feminist struggle. Oakland, CA: PM Press.
Fraser, N., 2016. Contradictions of capital and care. New Left Review, 100, pp.99–117.
Freire, P., 1970. Pedagogy of the oppressed. New York, NY: Herder and Herder.
Gazzaniga, M.S., 2018. The consciousness instinct: unraveling the mystery of how the brain makes the mind. New York, NY: Farrar, Straus and Giroux.
Giampietro, M., Velasco-Fernández, R., & Ripa, M., 2022. Regenerative Social Metabolism: Sustainability in the Anthropocene. Cham: Springer.
Gibson-Graham, J.K., 2006. The end of capitalism (as we knew it): a feminist critique of political economy. Minneapolis, MN: University of Minnesota Press.
Harvey, D., 2014. Seventeen contradictions and the end of capitalism. London: Profile Books.
Internet Society, 2023. Global Internet report 2023. Reston, VA: Internet Society.
Jones, N., 2023. How to stop data centres from gobbling up the world’s electricity. Nature, 614(7946), pp.418–421.
Laboria Cuboniks, 2015. The Xenofeminist manifesto: a politics for alienation. Available at: https://www.laboriacuboniks.net/manifesto/xenofeminism [Accessed: 14 June 2024].
Marx, K., 1857/1993. Grundrisse: foundations of the critique of political economy. London: Penguin Classics.
Mészáros, I., 2002. Beyond capital: toward a theory of transition. London: Pluto Press.
Mészáros, I., 2008. The challenge and burden of historical time. New York, NY: Monthly Review Press.
Noble, S.U., 2018. Algorithms of oppression: how search engines reinforce racism. New York, NY: NYU Press.
OECD, 2021. OECD AI policy observatory: infrastructure. Paris: OECD Publishing.
OECD, 2024. OECD AI outlook 2024. Paris: OECD Publishing.
Ostrom, E., 1990. Governing the commons: the evolution of institutions for collective action. Cambridge: Cambridge University Press.
Pasquinelli, M., 2023. The myth of the machine: preserving knowledge commons in the age of digital capitalism. Amsterdam: Institute of Network Cultures.
Ricaurte, P., Dencik, L. and Hintz, A., 2019. Data justice: mapping advocacy and research. Big Data & Society, 6(1), pp.1–17.
Santos, B. de S., 2014. Epistemologies of the south: justice against epistemicide. Boulder, CO: Paradigm Publishers.
Srnicek, N., 2017. Platform capitalism. Cambridge, UK: Polity Press.
Stephany, F., Kässi, O., Rani, U. and Lehdonvirta, V., 2021. Crowdwork and the gig economy. Work, Employment and Society, 35(1), pp.45–67.
UNESCO, 2021. Recommendation on the ethics of artificial intelligence. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000379920 [Accessed: 14 June 2024].
UNICEF, 2021. The impact of EdTech on learning: a global review. New York, NY: UNICEF Office of Research.
Williamson, B., 2020. Big data in education: the digital future of learning, policy and practice. London: Sage Publications.
Zuboff, S., 2019. The age of surveillance capitalism: the fight for a human future at the new frontier of power. London: Profile Books.
