Abstract
The changes and transformations described in the previous chapters necessitate a reconsideration of human agency. However, it is important not to jump to conclusions: whereas it is clear that accounts of human privilege in agency are no longer sustainable, algorithms equally cannot be seen as the unconditional masters of (human) life. Instead, agency is demonstrated to be located in assemblages composed of humans, code, and technological artefacts that integrate and shape the contours of everyday life. In order to appropriately conceptualise the matter, this chapter turns to posthumanist thought, particularly its emphasis on the relationality and embeddedness of human existence. The outlook thus developed rejects the longstanding dominance of anthropocentrism and allows for multiple ways of treating nonhuman agents on par with human ones.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ames, M. G. (2018). Deconstructing the Algorithmic Sublime. Big Data & Society. https://doi.org/10.1177/2053951718779194.
Beer, D. (2017). Envisioning the Power of Data Analytics. Information, Communication & Society, 21(3), 465–479.
Beer, D. (2019). The Data Gaze: Capitalism, Power and Perception. Los Angeles and London: Sage.
Boler, M., & Davis, E. (2018). The Affective Politics of the ‘Post-Truth’ Era: Feeling Rules and Networked Subjectivity. Emotion, Space & Society, 27, 75–85.
Braidotti, R. (2013). The Posthuman. Cambridge and Malden: Polity Press.
Bucher, T. (2017). The Algorithmic Imaginary: Exploring the Ordinary Effects of Facebook Algorithms. Information, Communication & Society, 20(1), 30–44.
Bucher, T. (2018). If… Then: Algorithmic Power and Politics. Oxford and New York: Oxford University Press.
Carlson, M. (2018). Automating Judgment? Algorithmic Judgment, News Knowledge, and Journalistic Professionalism. New Media and Society, 20(5), 1755–1772.
Carolus, A., et al. (2018). Smartphones as Digital Companions: Characterizing the Relationship Between Users and Their Phones. New Media & Society. https://doi.org/10.1177/1461444818817074.
Čerka, P., Grigienė, J., & Sirbikytė, G. (2017). Is It Possible to Grant Legal Personality to Artificial Intelligence Software Systems? Computer Law & Security Review, 33, 685–699.
Chandler, D. (2015). A World Without Causation: Big Data and the Coming of Age of Posthumanism. Millennium: Journal of International Studies, 43(3), 833–851.
Cheney-Lippold, J. (2017). We Are Data: Algorithms and the Making of Our Digital Selves. New York: New York University Press.
Choat, S. (2018). Science, Agency and Ontology: A Historical-Materialist Response to New Materialism. Political Studies, 66(4), 1027–1042.
Citton, Y. (2017). The Ecology of Attention. Cambridge and Malden: Polity Press.
Cotter, K. (2018). Playing the Visibility Game: How Digital Influencers and Algorithms Negotiate Influence on Instagram. New Media & Society. https://doi.org/10.1177/1461444818815684.
Danaher, J. (2017). Building a Post-Work Utopia: Technological Unemployment, Life Extension and the Future of Human Flourishing. In K. LaGrandeur & J. J. Huges (Eds.), Surviving the Machine Age: Intelligent Technology and the Transformation of Human Work (pp. 63–82). London: Palgrave Macmillan.
de Haan, T., & Linde, J. (2018). ‘Good Nudge Lullaby’: Choice Architecture and Default Bias Reinforcement. The Economic Journal, 128, 1180–1206.
Derrida, J. (1976). Of Grammatology. Baltimore: Johns Hopkins University Press.
Etzioni, A. (2017). Job Collapse on the Road to New Athens. Challenge, 60(4), 327–346.
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and Organizing in the Age of the Learning Algorithm. Information and Organization, 28, 62–70.
Ferrante, A., & Sartori, D. (2016). From Anthropocentrism to Post-Humanism in the Educational Debate. Relations, 4(2), 175–194.
Fukuyama, F. (2002). Our Posthuman Future: Consequences of the Biotechnology Revolution. New York: Farrar, Strauss and Giroux.
Greenfield, A. (2018). Radical Technologies: Thee Design of Everyday Life. London and New York: Verso.
Gunkel, D. J. (2018). Robot Rights. Cambridge, MA and London: The MIT Press.
Hegel, G. W. F. (2018). The Phenomenology of Spirit. Cambridge and New York: Cambridge University Press.
Helbing, D., et al. (2017, February 25). Will Democracy Survive Big Data and Artificial Intelligence? Scientific American. Available at https://www.scientificamerican.com/article/will-democracy-survive-big-data-and-artificial-intelligence/.
Herbrechter, S. (2013). Posthumanism: A Critical Analysis. London and New York: Bloomsbury Academic.
Hildebrandt, M. (2016). Law as Information in the Era of Data-Driven Agency. The Modern Law Review, 79(1), 1–30.
Hornborg, A. (2017). Artifacts Have Consequences, Not Agency: Toward a Critical Theory of Global Environmental History. European Journal of Social Theory, 20(1), 95–110.
Iliadis, A. (2018). Algorithms, Ontology, and Social Progress. Global Media and Communication, 14(2), 219–230.
Janssen, M., & Kuk, G. (2016). The Challenges and Limits of Big Data Algorithms in Technocratic Governance. Government Information Quarterly, 33, 371–377.
Just, N., & Latzer, M. (2017). Governance by Algorithms: Reality Construction by Algorithmic Selection in the Internet. Media, Culture and Society, 39(2), 238–258.
Kelleher, J. D., & Tierney, B. (2018). Data Science. Cambridge, MA and London: The MIT Press.
Klinger, U., & Swensson, J. (2018). The End of Media Logics? On Algorithms and Agency. New Media & Society. https://doi.org/10.1177/1461444818779750.
Klowait, N. O. (2019). Interactionism in the Age of Ubiquitous Telecommunication. Information, Communication & Society, 22, 605–621.
Lally, N. (2017). Crowdsourced Surveillance and Networked Data. Security Dialogue, 48(1), 63–77.
Langlois, G., & Elmer, G. (2018). Impersonal Subjectivation from Platforms to Infrastructures. Media, Culture and Society. https://doi.org/10.1177/0163443718818374.
Lessig, L. (2006). Code: Version 2.0. New York: Basic Books.
Lupton, D. (2018). How Do Data Come to Matter? Living and Becoming with Personal Data. Big Data & Society. https://doi.org/10.1177/2053951718820549.
Lyon, D. (2014). Surveillance, Snowden, and Big Data: Capacities, Consequences, Critique. Big Data & Society. https://doi.org/10.1177/2053951714541861.
Mackenzie, A. (2002). Transductions: Bodies and Machines at Speed. London and New York: Continuum.
Mahon, P. (2018). Posthumanism: A Guide for the Perplexed. London and New York: Bloomsbury.
Margulies, J. D., & Bersaglio, B. (2018). Furthering Post-Human Political Ecologies. Geoforum, 94, 103–106.
Massumi, B. (2014). What Animals Teach Us About Politics. Durham, NC: Duke University Press.
Mayer-Schönberger, V. (2008). Demystifying Lessig. Wisconsin Law Review, 4, 713–746.
Mayer-Schönberger, V., & Cukier, K. (2017). Big Data: Th Essential Guide to Work, Life and Learning in the Age of Insight. London: John Murray.
Murdock, G. (2017). Mediatisation and the Transformation of Capitalism: The Elephant in the Room. Javnost—The Public, 24(2), 119–135.
O’Neil, C. (2016). Weapons of Math Destruction. New York: Crown.
Papakonstantinou, V., & De Hert, P. (2018). Structuring Modern Life Running on Software: Recognizing (Some) Computer Programs as New ‘Digital Persons’. Computer Law and Security Review, 34(4), 732–738.
Pötzsch, H. (2018). Archives and Identity in the Context of Social Media and Algorithmic Analytics: Towards an Understanding of iArchive and Predictive Retention. New Media & Society, 20(9), 3304–3322.
Reagle, J. M. (2019). Hacking Life: Systematized Living and Its Discontents. Cambridge, MA and London: The MIT Press.
Schmidt, A. T. (2017). The Power to Nudge. American Political Science Review, 111(2), 404–417.
Schraube, E. (2009). Technology as Materialized Action and Its Ambivalences. Theory & Psychology, 19(2), 296–312.
Schwitzgebel, E., & Garza, M. (2015). A Defense of the Rights of Artificial Intelligences. Midwest Studies in Philosophy, 39(1), 89–119.
Seltin, J. (2009). Production of the Post-Human: Political Economies of Bodies and Technology. Parrhesia, 8, 43–59.
Snape, R., et al. (2017). Leisure in a Post-Work Society. World Leisure Journal, 59(3), 184–494.
Srinivasan, K., & Kasturirangan, R. (2016). Political Ecology, Development and Human Exceptionalism. Geoforum, 75, 125–128.
Stiegler, B. (1998). Technics and Time, 1: The Fault of Epimetheus. Stanford: Stanford University Press.
Sunstein, C. R. (2018). #Republic. Princeton and Oxford: Princeton University Press.
Szollosy, M. (2017). ESPR Principles of Robotics: Defending an Obsolete Human(ism)? Connection Science, 29(2), 150–159.
Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. London and New York: Penguin Books.
Thaler, R. H. (2015). Misbehaving: The Making of Behavioural Economics. London and New York: Penguin Books.
Thomas, S. L., Nafus, D., & Sherman, J. (2018). Algorithms as Fetish: Faith and Possibility in Algorithmic Work. Big Data & Society. https://doi.org/10.1177/2053951717751552.
Tucker, I. (2018). Digitally Mediated Emotion: Simondon, Affectivity and Individuation. In T. D. Sampson, S. Maddison, & D. Ellis (Eds.), Affect and Social Media: Emotion, Mediation, Anxiety and Contagion (pp. 35–41). London and Lanham: Rowman & Littlefield.
Vaidhyanathan, S. (2018). Anti-Social Media: How Facebook Disconnects Us and Undermines Democracy. Oxford and New York: Oxford University Press.
Vladeck, D. C. (2014). Machines Without Principals: Liability Rules and Artificial Intelligence. Washington Law Review, 89(1), 117–150.
Wajcman, J. (2018). The Digital Architecture of Time Management. Science, Technology and Human Values. https://doi.org/10.1177/0162243918795041.
Zatarain, J. M. N. (2017). The Role of Automated Technology in the Creation of Copyright Works: The Challenges of Artificial Intelligence. International Review of Law, Computers & Technology, 31(1), 91–104.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 The Author(s)
About this chapter
Cite this chapter
Kalpokas, I. (2019). Agency and the Posthuman Shape of Law. In: Algorithmic Governance. Palgrave Pivot, Cham. https://doi.org/10.1007/978-3-030-31922-9_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-31922-9_5
Published:
Publisher Name: Palgrave Pivot, Cham
Print ISBN: 978-3-030-31921-2
Online ISBN: 978-3-030-31922-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)