Skip to main content

Agency and the Posthuman Shape of Law

  • Chapter
  • First Online:
Book cover Algorithmic Governance

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 64.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ames, M. G. (2018). Deconstructing the Algorithmic Sublime. Big Data & Society. https://doi.org/10.1177/2053951718779194.

    Article  Google Scholar 

  • Beer, D. (2017). Envisioning the Power of Data Analytics. Information, Communication & Society, 21(3), 465–479.

    Article  Google Scholar 

  • Beer, D. (2019). The Data Gaze: Capitalism, Power and Perception. Los Angeles and London: Sage.

    Book  Google Scholar 

  • Boler, M., & Davis, E. (2018). The Affective Politics of the ‘Post-Truth’ Era: Feeling Rules and Networked Subjectivity. Emotion, Space & Society, 27, 75–85.

    Article  Google Scholar 

  • Braidotti, R. (2013). The Posthuman. Cambridge and Malden: Polity Press.

    Google Scholar 

  • Bucher, T. (2017). The Algorithmic Imaginary: Exploring the Ordinary Effects of Facebook Algorithms. Information, Communication & Society, 20(1), 30–44.

    Article  Google Scholar 

  • Bucher, T. (2018). If… Then: Algorithmic Power and Politics. Oxford and New York: Oxford University Press.

    Book  Google Scholar 

  • Carlson, M. (2018). Automating Judgment? Algorithmic Judgment, News Knowledge, and Journalistic Professionalism. New Media and Society, 20(5), 1755–1772.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  MathSciNet  Google Scholar 

  • Cheney-Lippold, J. (2017). We Are Data: Algorithms and the Making of Our Digital Selves. New York: New York University Press.

    Book  Google Scholar 

  • Choat, S. (2018). Science, Agency and Ontology: A Historical-Materialist Response to New Materialism. Political Studies, 66(4), 1027–1042.

    Article  Google Scholar 

  • Citton, Y. (2017). The Ecology of Attention. Cambridge and Malden: Polity Press.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • de Haan, T., & Linde, J. (2018). ‘Good Nudge Lullaby’: Choice Architecture and Default Bias Reinforcement. The Economic Journal, 128, 1180–1206.

    Article  Google Scholar 

  • Derrida, J. (1976). Of Grammatology. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Etzioni, A. (2017). Job Collapse on the Road to New Athens. Challenge, 60(4), 327–346.

    Article  Google Scholar 

  • Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and Organizing in the Age of the Learning Algorithm. Information and Organization, 28, 62–70.

    Article  Google Scholar 

  • Ferrante, A., & Sartori, D. (2016). From Anthropocentrism to Post-Humanism in the Educational Debate. Relations, 4(2), 175–194.

    Article  Google Scholar 

  • Fukuyama, F. (2002). Our Posthuman Future: Consequences of the Biotechnology Revolution. New York: Farrar, Strauss and Giroux.

    Google Scholar 

  • Greenfield, A. (2018). Radical Technologies: Thee Design of Everyday Life. London and New York: Verso.

    Google Scholar 

  • Gunkel, D. J. (2018). Robot Rights. Cambridge, MA and London: The MIT Press.

    Book  Google Scholar 

  • Hegel, G. W. F. (2018). The Phenomenology of Spirit. Cambridge and New York: Cambridge University Press.

    Google Scholar 

  • 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.

    Google Scholar 

  • Hildebrandt, M. (2016). Law as Information in the Era of Data-Driven Agency. The Modern Law Review, 79(1), 1–30.

    Article  MathSciNet  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Iliadis, A. (2018). Algorithms, Ontology, and Social Progress. Global Media and Communication, 14(2), 219–230.

    Article  Google Scholar 

  • Janssen, M., & Kuk, G. (2016). The Challenges and Limits of Big Data Algorithms in Technocratic Governance. Government Information Quarterly, 33, 371–377.

    Article  Google Scholar 

  • Just, N., & Latzer, M. (2017). Governance by Algorithms: Reality Construction by Algorithmic Selection in the Internet. Media, Culture and Society, 39(2), 238–258.

    Article  Google Scholar 

  • Kelleher, J. D., & Tierney, B. (2018). Data Science. Cambridge, MA and London: The MIT Press.

    Book  Google Scholar 

  • Klinger, U., & Swensson, J. (2018). The End of Media Logics? On Algorithms and Agency. New Media & Society. https://doi.org/10.1177/1461444818779750.

    Article  Google Scholar 

  • Klowait, N. O. (2019). Interactionism in the Age of Ubiquitous Telecommunication. Information, Communication & Society, 22, 605–621.

    Article  Google Scholar 

  • Lally, N. (2017). Crowdsourced Surveillance and Networked Data. Security Dialogue, 48(1), 63–77.

    Article  Google Scholar 

  • Langlois, G., & Elmer, G. (2018). Impersonal Subjectivation from Platforms to Infrastructures. Media, Culture and Society. https://doi.org/10.1177/0163443718818374.

    Article  Google Scholar 

  • Lessig, L. (2006). Code: Version 2.0. New York: Basic Books.

    Google Scholar 

  • Lupton, D. (2018). How Do Data Come to Matter? Living and Becoming with Personal Data. Big Data & Society. https://doi.org/10.1177/2053951718820549.

    Article  Google Scholar 

  • Lyon, D. (2014). Surveillance, Snowden, and Big Data: Capacities, Consequences, Critique. Big Data & Society. https://doi.org/10.1177/2053951714541861.

    Article  Google Scholar 

  • Mackenzie, A. (2002). Transductions: Bodies and Machines at Speed. London and New York: Continuum.

    Google Scholar 

  • Mahon, P. (2018). Posthumanism: A Guide for the Perplexed. London and New York: Bloomsbury.

    Google Scholar 

  • Margulies, J. D., & Bersaglio, B. (2018). Furthering Post-Human Political Ecologies. Geoforum, 94, 103–106.

    Article  Google Scholar 

  • Massumi, B. (2014). What Animals Teach Us About Politics. Durham, NC: Duke University Press.

    Book  Google Scholar 

  • Mayer-Schönberger, V. (2008). Demystifying Lessig. Wisconsin Law Review, 4, 713–746.

    Google Scholar 

  • Mayer-Schönberger, V., & Cukier, K. (2017). Big Data: Th Essential Guide to Work, Life and Learning in the Age of Insight. London: John Murray.

    Google Scholar 

  • Murdock, G. (2017). Mediatisation and the Transformation of Capitalism: The Elephant in the Room. Javnost—The Public, 24(2), 119–135.

    Article  Google Scholar 

  • O’Neil, C. (2016). Weapons of Math Destruction. New York: Crown.

    MATH  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Reagle, J. M. (2019). Hacking Life: Systematized Living and Its Discontents. Cambridge, MA and London: The MIT Press.

    Book  Google Scholar 

  • Schmidt, A. T. (2017). The Power to Nudge. American Political Science Review, 111(2), 404–417.

    Article  Google Scholar 

  • Schraube, E. (2009). Technology as Materialized Action and Its Ambivalences. Theory & Psychology, 19(2), 296–312.

    Article  Google Scholar 

  • Schwitzgebel, E., & Garza, M. (2015). A Defense of the Rights of Artificial Intelligences. Midwest Studies in Philosophy, 39(1), 89–119.

    Article  Google Scholar 

  • Seltin, J. (2009). Production of the Post-Human: Political Economies of Bodies and Technology. Parrhesia, 8, 43–59.

    Google Scholar 

  • Snape, R., et al. (2017). Leisure in a Post-Work Society. World Leisure Journal, 59(3), 184–494.

    Article  Google Scholar 

  • Srinivasan, K., & Kasturirangan, R. (2016). Political Ecology, Development and Human Exceptionalism. Geoforum, 75, 125–128.

    Google Scholar 

  • Stiegler, B. (1998). Technics and Time, 1: The Fault of Epimetheus. Stanford: Stanford University Press.

    Google Scholar 

  • Sunstein, C. R. (2018). #Republic. Princeton and Oxford: Princeton University Press.

    Book  Google Scholar 

  • Szollosy, M. (2017). ESPR Principles of Robotics: Defending an Obsolete Human(ism)? Connection Science, 29(2), 150–159.

    Article  Google Scholar 

  • Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. London and New York: Penguin Books.

    Google Scholar 

  • Thaler, R. H. (2015). Misbehaving: The Making of Behavioural Economics. London and New York: Penguin Books.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Vaidhyanathan, S. (2018). Anti-Social Media: How Facebook Disconnects Us and Undermines Democracy. Oxford and New York: Oxford University Press.

    Google Scholar 

  • Vladeck, D. C. (2014). Machines Without Principals: Liability Rules and Artificial Intelligence. Washington Law Review, 89(1), 117–150.

    Google Scholar 

  • Wajcman, J. (2018). The Digital Architecture of Time Management. Science, Technology and Human Values. https://doi.org/10.1177/0162243918795041.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ignas Kalpokas .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

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

Publish with us

Policies and ethics