Palabras clave
IA
metacognicción
nudges
atrofia cognitiva
psicología de máquina
alineación hombre-máquina
Resumen
El artículo traza la evolución de la Economía de la Conducta desde sus orígenes en la crítica a la racionalidad neoclásica hasta la Ciencia del Comportamiento Cultural Evolutivo contemporánea. Frente al auge de la inteligencia artificial generativa se identifican tres aportaciones fundamentales de las ciencias conductuales: la metacognición para superar sesgos intuitivos mediante hibridación Sistema 1-Sistema 2; la comprensión del continuum de adopción (motivación, capacidad, confianza) facilitada por reformulación prospectiva de pérdidas; y la psicología de máquina para contrarrestar la sincofancia y bucles sesgados mediante fine-tuning ético, adaptación situacional y prompting crítico. Se advierte sobre riesgos de antropomorfización, atrofia cognitiva por offloading excesivo y erosión de normas sociales humano-IA, proponiendo diseño participativo para preservar juicio autónomo, relaciones recíprocas y pensamiento crítico. Concluye que el éxito de la IA se medirá por su integración armónica con complejidades conductuales humanas, posicionando la ciencia conductual como herramienta esencial para una era intencionalmente humana.
Citas
Abrahamse, W., & Steg, L. (2013). Social influence approaches to encourage resource conservation: A meta-analysis. Global Environmental Change, 23, 1773–1785. https://doi.org/10.1016/j.gloenvcha.2013.07.029
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Allais, M. (1952). The foundations of a positive theory of choice involving risk and a criticism of the postulates and axioms of the American School. In Expected Utility Hypotheses and the Allais Paradox: Contemporary Discussions of the Decisions Under Uncertainty with Allais' Rejoinder (pp. 27–145). Dordrecht: Springer Netherlands.
Ariely, D. (2008). Predictably irrational. HarperCollins.
Behavioural Insights Team. (2025). AI & human behaviour. https://www.bi.team/publications/ai-and-human-behaviour/
Behavioural Insights Team. (2025). AI & human behaviour: Align https://www.bi.team/wp-content/uploads/2025/09/AI-Human-Behaviour-thought-leadership-piece-AAAA-2025-Align.pdf
Benartzi, S., Beshears, J., Milkman, K. L., Sunstein, C. R., Thaler, R. H., Shankar, M., ... & Galing, S. (2017). Should governments invest more in nudging? Psychological Science, 28(8), 1041–1055.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.
Borenstein, J., & Arkin, R. (2016). Robotic nudges: The ethics of engineering a more socially just human being. Science and Engineering Ethics, 22(1), 31–46. https://doi.org/10.1007/s11948-015-9636-2
Burr, C., Cristianini, N., & Ladyman, J. (2018). An analysis of the interaction between intelligent software agents and human users. Minds and Machines, 28(4), 735–774. https://doi.org/10.1007/s11023-018-9479-0
Camerer, C. (1999). Behavioral economics: Reunifying psychology and economics. Proceedings of the National Academy of Sciences, 96(19), 10575–10577.
Camerer, C., & Lovallo, D. (1999). Overconfidence and excess entry: An experimental approach. American Economic Review, 89(1), 306–318.
Chang, L. J., Doll, B. B., van't Wout, M., Frank, M. J., & Sanfey, A. G. (2010). Seeing is believing: Trustworthiness as a dynamic belief. Cognitive Psychology, 61(2), 87–105.
Chen, E. R., & Ivanov, V. A. (2025). Delegating to AI: How Perceived Losses Influence Human Decision-Making Autonomy. The Pinnacle Research Journal of Scientific and Management Sciences, 2(06), 1-5.
Cialdini, R. B., & Trost, M. R. (1998). Social influence: Social norms, conformity, and compliance. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed., Vol. 2, pp. 151–192). Boston: McGraw-Hill.
Cialdini, R. B., Demaine, L. J., Sagarin, B. J., Barrett, D. W., Rhoads, K. V. L., & Winter, P. L. (2006). Managing social norms for persuasive impact. Social Influence, 1(1), 3–15. https://doi.org/10.1080/15534510500181459
Cialdini, R. B., Reno, R. R., & Kallgren, C. R. (1990). A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places. Journal of Personality and Social Psychology, 58(6), 1015–1026. https://doi.org/10.1037/0022-3514.58.6.1015
Cinner, J. (2018). How behavioral science can help conservation. Science, 362(6417), 889–890. https://doi.org/10.1126/science.aau6028
Cohn, A., Maréchal, M. A., Tannenbaum, D., & Züchner, C. L. (2022). Honesty in the digital age. Science, 376(6595), 843–848.
Corral-Verdugo, V., Aguilar-Luzón, M. C., & Hernández, B. (2019). Bases teóricas que guían a la psicología de la conservación ambiental. Papeles del Psicólogo, 40(3), 174–181.
Damasio, A. (1996). Descartes' error: Emotion, reason, and the human brain. New York: G. P. Putnam's Sons.
Dong, H., Ye, H., Zhu, W., Jiang, K., & Song, G. (2025). Meta-R1: Empowering Large Reasoning Models with Metacognition. arXiv preprint arXiv:2508.17291.
Fehr, E., & Schmidt, K. M. (1999). A theory of fairness, competition, and cooperation. The Quarterly Journal of Economics, 114(3), 817–868.
Gabriel, I., Manzini, A., Keeling, G., Hendricks, L. A., Rieser, V., Iqbal, H., ... & Manyika, J. (2024). The ethics of advanced AI assistants. arXiv preprint arXiv:2404.16244.
García, M. I. D., Fernández, M. Á. R., & Crespo, A. V. (2017). Manual de técnicas y terapias cognitivo conductuales. Desclée de Brouwer.
Gigerenzer, G., & Brighton, H. (2009). Homo heuristicus: Why biased minds make better decisions. In Topics in cognitive science (Vol. 1, No. 1, pp. 107–143). Wiley Online Library.
Gigerenzer, G., & Gaissmaier, W. (2011). Risk literacy. Current Directions in Psychological Science, 20(5), 310–316.
Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4), 650.
Gigerenzer, G., & Selten, R. (Eds.). (2001). Bounded rationality: The adaptive toolbox. MIT press.
Gigerenzer, G., Hell, W., & Blank, H. (1991). Presentation and content: The use of base rates as a continuous variable. Journal of Experimental Psychology: Human Perception and Performance, 19(2), 338.
Gigerenzer, G. (2008). Gut feelings: The intelligence of the unconscious. Viking.
Grüne-Yanoff, T. (2018). Philosophical theories of paternalism. In The Oxford Handbook of Paternalism (pp. 62–82).
Güth, W., Schmittberger, R., & Schwarze, B. (1982). An experimental analysis of ultimatum bargaining. Journal of Economic Behavior & Organization, 3(4), 367–388.
Hagendorff, T., Dasgupta, I., Binz, M., Chan, S. C., Lampinen, A., Wang, J. X., ... & Schulz, E. (2023). Machine psychology. arXiv preprint arXiv:2303.13988.
Häußermann, F. (2020). The autonomy issue in normative behavioral ethics. Business and Professional Ethics Journal, 39(1), 5–28.
Hausman, D. M. (2018). Mistake, error and other misadventures. Philosophy of Science, 85(5), 944–954.
Hayes, S. C., Strosahl, K. D., & Wilson, K. G. (2005). Acceptance and commitment therapy: An experiential approach to behavior change. Guilford Press.
Janssen, J. H., & Schadenberg, U. (2024). Robotic rehabilitation: Design considerations for robot-assisted therapy. Journal of Healthcare Engineering, 2024, 1–12.
Jochim, J., & Schimmelpfennig, R. (2022). El ser humano como innovación. Naciones Unidas: Revisión alemana sobre las Naciones Unidas, 70(2), 63-68.
Kahneman, D. (2012). Thinking, fast and slow. Farrar, Straus and Giroux.
Kahneman, D., & Tversky, A. (2013). Prospect theory: An analysis of decision under risk. In Handbook of the economics of risk and uncertainty (Vol. 1, pp. 99–127). Elsevier.
Kirk, R., Ravenscroft, A., & Kumar, V. (2025). The ethics of robot nudging: Autonomy, responsibility, and paternalism. Ethics and Information Technology, 27, 1–15.
Klein, C. R., & Klein, R. (2025). The extended hollowed mind: why foundational knowledge is indispensable in the age of AI. Frontiers in Artificial Intelligence, 8, 1719019.
Kuyer, J., & Gordijn, B. (2023). Nudging and the good life: Ethical issues in behavioral policy. Journal of Medical Ethics, 49(3), 159–164.
Levitt, S. D., & Dubner, S. J. (2011). Freakonomics: A rogue economist explores the hidden side of everything. William Morrow.
Lindgren, H., Lindvall, K., & Richter-Sundberg, L. (2025). Responsible design of an AI system for health behavior change—an ethics perspective on the participatory design process of the STAR-C digital coach. Frontiers in Digital Health, 7, 1436347.
List, J. A. (2007). On the interpretation of giving in dictator games. Journal of Political Economy, 115(3), 482–493.
Miller, D. T., & Prentice, D. A. (2016). Changing norms to change behavior. Current Directions in Psychological Science, 25(3), 169–174.
Mullainathan, S. (2013). Scarcity: Why having too little means so much. Macroeconomic Dynamics, 19(2), 427–430.
Mullainathan, S., & Thaler, R. H. (2000). Behavioral decision research: A survey. The Journal of Economic Literature, 38(2), 402–437.
Muthukrishna, M., Henrich, J., & Norenzayan, A. (2021). How culture shapes the human mind. Behavioral and Brain Sciences, 44, e138.
Oceja, L. V., & Fernández-Dols, J. M. (2006). The perception of dynamic sequences of expressions of pain and joy: Influences on the emotions experienced by observers. European Journal of Social Psychology, 28(5), 669–679.
Pittet, D., & Boyce, J. M. (2001). Hand hygiene and patient care: Building a culture of compliance. Emerging Infectious Diseases, 7(2), 234.
Rainie, L., Anderson, J., & Perrin, A. (2025). Close encounters of the AI kind: Main report. Imagining the Digital Future Center, Elon University. https://imaginingthedigitalfuture.org/reports-and-publications/close-encounters-of-the-ai-kind/close-encounters-of-the-ai-kind-main-report/
Rizzo, M. J., & Whitman, D. G. (2009). The calamity theory of reason. Harvard Journal of Law & Public Policy, 37(2), 649–666.
Ross, L., & Nisbett, R. E. (1991). The person and the situation: Perspectives of social psychology. McGraw Hill.
Ruggeri, K. (2021). Behavioral science and policy design: A review. Frontiers in Psychology, 12, 700968.
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003). The neural basis of economic decision-making in the ultimatum game. Science, 300(5626), 1755–1758.
Sapolsky, R. M. (2024). Determined: A science of life without free will. Penguin Press.
Schimmelpfennig, C., & Muthukrishna, M. (2023). The cultural evolution of behavioral science. Nature Human Behaviour, 7(9), 1454–1463.
Schwartz, S. H. (1977). Normative influences on altruism. Advances in Experimental Social Psychology, 10, 221–279.
Sevillano, V., & Olivos, P. (2019). Psychological drivers of anti-consumption and sustainable consumption. Frontiers in Psychology, 10, 1–13.
Simon, H. A. (1957). Models of man: Social and rational; mathematical essays on rational human behavior in a society setting. John Wiley & Sons.
Sunstein, C. R. (2016). The ethics of influence: Government in the age of behavioral science. Cambridge University Press.
Sunstein, C. R. (2020). Sludge: What stops us from getting things done and what to do about it. MIT Press.
Sunstein, C. R. (2021). How to make laws. Harvard Law Review Forum, 135, 1–29.
Sunstein, C. R., & Thaler, R. H. (2003). Libertarian paternalism. American Economic Review, 93(2), 175–179.
Sunstein, C. R., & Thaler, R. H. (2006). Preferences with a mistake. Journal of Political Economy, 114(5), 1067–1085.
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
Thaler, R. H., & Sunstein, C. R. (2017). Nudge: Improving decisions about health, wealth and happiness (Revised ed.). Yale University Press.
Uchiyama, K., Muthukrishna, M., & Henrich, J. (2022). Cultural evolution of institutions for human cooperation. Evolution and Human Behavior, 43(1), 18–28.
Vugts, D. P., Goorden, M., & Jansen, S. J. (2020). The ethics of nudging in public health: A systematic review. Journal of Medical Ethics, 46(6), 378–384.
Von Neumann, J., & Morgenstern, O. (1953). Theory of games and economic behavior (3rd ed.). Princeton University Press.
Yeung, K. (2017). 'Hypernudges' and the architecture of choice. In The Minnesota Journal of Law, Science & Technology, 18, 1–50.
Youvan, D. C. (2024). Toward Machine-Like Intuition: Emergent Patterns and Non-Human Insight in Artificial Intelligence.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
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