La paradoja de seguridad y libertad en la era digital
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Palabras clave

Biopolítica
Vigilancia digital
Gubernamentalidad
Libertad
Seguridad
Capitalismo de vigilancia

Cómo citar

Ramos Zaga, F. (2026). La paradoja de seguridad y libertad en la era digital: Un análisis crítico desde perspectivas biopolíticas y filosóficas. Revista De La Secretaría Del Tribunal Permanente De Revisión, 14(23), 1–35. https://doi.org/10.16890/rstpr.a14.n23.e568

Resumen

Resumen: La tensión entre seguridad y libertad constituye uno de los dilemas fundamentales de las sociedades contemporáneas, intensificado exponencialmente por el advenimiento de tecnologías digitales de vigilancia masiva. Este trabajo examina críticamente esta paradoja desde marcos teóricos biopolíticos y filosóficos, argumentando que las arquitecturas digitales contemporáneas no simplemente equilibran seguridad y libertad, sino que reconfiguran radicalmente las modalidades mismas del poder gubernamental y la subjetividad individual. A través de un análisis que integra los conceptos foucaultianos de biopolítica y gubernamentalidad con perspectivas contemporáneas sobre vigilancia digital, se sostiene que el paradigma securitario actual opera mediante mecanismos de control preventivo que trascienden las formas disciplinarias tradicionales. La investigación explora cómo algoritmos predictivos, sistemas de reconocimiento facial y plataformas de datificación masiva construyen regímenes de visibilidad donde la libertad es simultáneamente proclamada y erosionada. Se argumenta que esta paradoja no representa una contradicción accidental sino una característica estructural del capitalismo de vigilancia, donde la extracción de datos biométricos y comportamentales constituye tanto el medio de control como el fundamento económico de plataformas digitales. Las conclusiones sugieren que resolver esta tensión requiere repensar fundamentalmente las categorías políticas heredadas de la modernidad temprana, desarrollando marcos normativos capaces de proteger la autonomía individual sin sucumbir a ilusiones de transparencia total o seguridad absoluta.

https://doi.org/10.16890/rstpr.a14.n23.e568
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Citas

GAMBEN, Giorgio. State of exception. Chicago: University of Chicago Press, 2005.

AMOORE, Louise. The politics of possibility: Risk and security beyond probability. Durham: Duke University Press, 2013.

ANANNY, Mike; CRAWFORD, Kate. “Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability.” New Media & Society, 2018, vol. 20, nº3, pp. 973-989.

ANDREJEVIC, Mark. iSpy: Surveillance and power in the interactive era. Kansas: University Press of Kansas, 2007.

ARADAU, Claudia; VAN MUNSTER, Rens. “Governing terrorism through risk: Taking precautions, (un)knowing the future.” European Journal of International Relations, 2007, vol.13, nº1, pp. 89-115.

BALL, Kirstie; WEBSTER, Frank. The intensification of surveillance: Crime, terrorism and warfare in the information age. Londres: Pluto Press, 2003.

BAROCAS, Solon; NISSENBAUM, Helen. “Big data's end run around anonymity and consent”. In J. LANE, V. STODDEN, S. BENDER, & H. NISSENBAUM (Eds.), Privacy, big data, and the public good. Cambridge: Cambridge University Press, 2014, pp.44-75.

BAROCAS, Solon; SELBST, Andrew. D. “Big data's disparate impact”. California Law Review, 2016, vol.104, pp. 671-732. Disponible en: <https://doi.org/10.15779/Z38BG31>

BENJAMIN, Ruha. Race after technology: Abolitionist tools for the new jim code. New Jersey: Polity Press, 2019.

BRUNTON, Finn; NISSENBAUM, Helen. Obfuscation: A user's guide for privacy and protest. Cambridge: MIT Press, 2015.

BURRELL, Jenna. “How the machine 'thinks': Understanding opacity in machine learning algorithms”. Big Data & Society. 2016, vol 3, nº1, pp. 1-12. Disponible en: <https://doi.org/10.1177/2053951715622512>

CAVOUKIAN, Ann. “Privacy by design: The 7 foundational principles. Information and Privacy Commissioner of Ontario”. Ontario, 2009.

CHENEY-LIPPOLD, John. We are data: Algorithms and the making of our digital selves. New York University Press, 2017.

CHOULDECHOVA, Alexandra. “Fair prediction with disparate impact: A study of bias in recidivism prediction instruments”. Big Data. 2017, vol 5, nº 2, pp. 153-163.

COHEN, Julien E. Configuring the networked self: Law, code, and the play of everyday practice. Yale University Press, 2012.

COULDRY, Nick; MEJIAS, Ulises. A. The costs of connection: How data is colonizing human life and appropriating it for capitalism. Stanford University Press, 2019.

DANAHER, Juan. “The threat of algocracy: Reality, resistance and accommodation.” Philosophy & Technology, 2016, vol. 29, nº3, pp. 245-268.

DELEUZE, Guilles. “Postscript on the societies of control”. October, 1992, vol. 59, pp. 3-7.

FELDSTEIN, Steven. The global expansion of AI surveillance. Carnegie Endowment for International Peace, 2019.

FERGUSON, Andrew Guthrie. The rise of big data policing: Surveillance, race, and the future of law enforcement. New York: New York University Press, 2017.

FINN, Rachel L.; WRIGHT, David; FRIEDEWALD, Michael.“ Seven types of privacy. En: GUTWIRTH Serge; LEENES Ronald; DE HERT Paul; POULLET Yves (Eds.), European data protection: Coming of age. Dordrecht: Springer, 2013, pp. 3-32.

FOUCAULT, Michel. The history of sexuality, Volume 1: An introduction. New York: Pantheon Books, 1978.

FOUCAULT, Michel. Discipline and punish: The birth of the prison. Random House, 1975.

FOUCAULT, Michel. Security, territory, population: Lectures at the Collège de France 1977-1978. Palgrave Macmillan, 2007.

FUCHS, Christian. “A contribution to the critique of the political economy of Google.” Fast Capitalism. 2011, vol. 8, nº1. Disponible en: <https://doi.org/10.32855/fcapital.201101.006>

GANDY, Oscar H. Coming to terms with chance: Engaging rational discrimination and cumulative disadvantage. Ashgate Publishing. 2009.

GATES, Kelly A. Our biometric future: Facial recognition technology and the culture of surveillance. New York: New York University Press. 2011.

GRAHAM, Mark; HALE, Scott A; STEPHENS, M. Geographies of the world's knowledge. Convoco Foundation. 2014.

HAGGERTY, Kevin D.; Ericson, Richard V. “The surveillant assemblage”. British Journal of Sociology, vol. 51, nº 4, 2000, pp. 605-622.

HAN, Byung-Chul. Psychopolitics: Neoliberalism and new technologies of power. Verso Books. 2014.

HARCOURT, B. E. Against prediction: Profiling, policing, and punishing in an actuarial age. University of Chicago Press. 2007.

HAYEK, Friedrich A. Camino de servidumbre. Trad. de José Vergara. Madrid: Alianza Editorial, 2007.

HOBBES, Thomas. Leviathan. Londres: Andrew Crooke, 1651.

ISHKHANYAN, Artur. “The sovereignty-internationalism paradox in AI governance: digital federalism and global algorithmic control”. Discover Artificial Intelligence, 2025, vol. 5, nº 1, artículo 123. Disponible en: < https://doi.org/10.1007/s44163-025-00374-x>

LEVY, Neil. “Echoes of COVID misinformation”. Philosophical Psychology. 2021, vol. 34, nº 3, pp.417-433.

LIANG, Fan; DAS, Vishnupriya; KOSTYUK, Nadiya; HUSSAIN, Muzammil M.“ Constructing a data-driven society: China's social credit system as a state surveillance infrastructure”. Policy & Internet, 2018, vol.10, nº4, pp. 415-453.

LOCKE, Juan. (1689). Two treatises of government. Cambridge University Press, 1689.

LUPTON, Deborah. The quantified self: A sociology of self-tracking. Cambridge: Polity Press. 2016.

LYON, David. “Surveillance, Snowden, and Big Data: Capacities, consequences, critique”. Big Data & Society, 2014, vol. 1, nº 2, pp. 1-11. Disponible en: < <https://doi.org/10.1177/2053951714541861>

LYON, David. Surveillance society: Monitoring everyday life. Open University Press. 2001.

MARX, Gary T. Windows into the soul: Surveillance and society in an age of high technology. University of Chicago Press. 2016.

McSTAY, Andrew. Emotional AI: The rise of empathic media. SAGE Publications. 2018.

MILAN, Stefanie; VAN DER VELDEN, Lonneke. “The alternative epistemologies of data activism”. Digital Culture & Society, 2016, vol. 2, nº2, pp. 57-74.

MILL, John Stuart. On liberty. Londres: John W. Parker and Son, 1859.

MOROZOV, Evgeny. “Digital socialism? The calculation debate in the age of big data”. New Left Review. 2019, vol. 116/117, pp. 33-67.

NISSENBAUM, Helen. Privacy in context: Technology, policy, and the integrity of social life. Stanford University Press, 2010.

NOBLE, Safiya Umoja. Algorithms of oppression: How search engines reinforce racism. New York University Press, 2018.

O'NEIL, Cathy. Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing, 2016.

PANGRAZIO, Lucy; SELWYN, Neil. “'Personal data literacies': A critical literacies approach to enhancing understandings of personal digital data”. New Media & Society, 2019, vol.21, nº2, pp. 419-437.

PARISER, Eli. The filter bubble: What the internet is hiding from you. Penguin Press.2011.

PASQUALE, Frank. The black box society: The secret algorithms that control money and information. Harvard University Press. 2015.

PIERUCCI, Federico. “Sovereignty in the Digital Era: Rethinking Territoriality and Governance in Cyberspace”. Digital Society, 2025, vol. 4, nº 27. Disponible en: < https://doi.org/10.1007/s44206-025-00189-4>

ROSE, Nicholas. Powers of freedom: Reframing political thought. Cambridge University Press. 1999.

ROUVROY, Antoinette; BERNS, Thomas. “Algorithmic governmentality and prospects of emancipation: Disparateness as a precondition for individuation through relationships?”. Réseaux. 2013, vol. 177, nº1, pp.163-196. Disponible en: <https://doi.org/10.3917/res.177.0163>

ROWE, Frantz. « Contact tracing apps and values dilemmas: A privacy paradox in a neo-liberal world”. International Journal of Information Management, 2020, vol. 55, artículo 102178. Disponible en:<https://doi.org/10.1016/j.ijinfomgt.2020.102178>

TUFEKCI, Zeynep. “Engineering the public: Big data, surveillance and computational politics”. First Monday, 2014, vol. 19, nº 7. Disponible en: < https://doi.org/10.5210/fm.v19i7.4901>

VOIGT, Paul; VON DEM BUSSCHE, Axel. The EU General Data Protection Regulation (GDPR): A practical guide. Springer. 2017.

WILLIAMS, J. Stand out of our light: Freedom and resistance in the attention economy. Cambridge University Press, 2018.

YE, Xiongbiao; YAN, Yuhong; LI, Jia; JIANG, Bo. “Privacy and personal data risk governance for generative artificial intelligence: A Chinese perspective”. Telecommunications Policy, 2024, vol. 48, nº 10, artículo 102851. Disponible en: <https://doi.org/10.1016/j.telpol.2024.102851>

ZUBOFF, Shoshana. The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: Public Affairs, 2019.

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