A colonização do juízo pelo cálculo

Autores

Palavras-chave:

inteligência artificial, juízo, sensibilidade à relevância, tipos humanos

Resumo

Há crescente confiança em sistemas algorítmicos, particularmente aqueles baseados em Inteligência Artificial (IA), cujo modo de operação denominamos cálculo. Eles influenciam e substituem tomadores de decisão humanos em domínios cada vez mais sensíveis. Isso ocorre a despeito de profundas divergências no modo como o juízo humano e o cálculo operam, e de persistentes desafios à tentativa de superá-las. Neste artigo, defendemos que  essa confiança é desmedida e decorre parcialmente de uma falha em perceber o fenômeno da colonização do juízo pelo cálculo: o que aparece como uma crescente acurácia na simulação do juízo é, em boa medida, fruto de uma
crescente influência do cálculo no modo como o juízo opera, delimitando seus contextos de operação e incitando a adoção de suas trajetórias inferenciais. Isso se mostra em habilidades cognitivas fundamentais, como a de determinar fatores relevantes em quaisquer contextos, inclusive os de deliberação moral.

Referências

ADAM, D. “Lethal AI weapons are here: how can we control them?” Nature, Vol. 629, Nr. 8012, pp. 521–523, 2024.

ANDREJEVIC, M. B. “Framelessness, or the cultural logic of big data”. In: DAUBS, M., MANZEROLLE, V. (eds.). Mobile and Ubiquitous Media. Digital Formations. Germany: Peter Lang Publishing, 2017. pp. 251–267.

BARTH, C. “Representational cognitive pluralism: towards a cognitive-science of relevance-sensitivity”. PhD thesis — Belo Horizonte: Faculdade de Filosofia e Ciências Humanas, Universidade Federal de Minas Gerais, 2024.

BROOKS, R. A. “Intelligence without representation”. Artificial Intelligence, Nr. 47, pp. 139–159, 1991.

CARVALHO, F. N. De. “O Papel do contexto na percepção das emoções”. Perspectiva Filosófica, Vol. 46, Nr. 2, pp. 116–142, 2019.

CHIAPPE, D. L., KUKLA, A. “Context selection and the frame problem”. Behavioral and brain sciences, Vol. 19, Nr. 3, pp. 529–530, 1996.

CUKIER, K., MAYER-SCHOENBERGER, V., VERICOURT, F. De. “Framers: Human Advantage in an Age of Technology and Turmoil”. WH Allen, 2021.

CUMMINS, R. “Representations, targets and atitudes”. MIT Press, 1996.

CUMMINS, R. “Representational specialization: the synthetic a priori revisited”. In: CUMMINS, R. (ed.). The world in the head. Oxford, 2010. pp. 194–209.

DENNETT, D. “Artificial Intelligence as Philosophy and as Psychology”. In: Brainstorms: Philosophical Essays on Mind and Psychology. MIT Press, 1981.

DREYFUS, H. “What computers can’t do: a critique of artificial reason”. New York: Harper & Row, 1972.

DREYFUS, H., DENNETT, D. “Did Deep Blue’s win over Kasparov prove that Artificial Intelligence has succeeded? A debate”. In: FRANCHI, S., GÜZELDERE, G. (eds.). Mechanical bodies, computational minds: artificial intelligence from automata to cyborgs. [s.l: s.n.]. pp. 266–279.

DREYFUS, H.; DREYFUS, S. “Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer”. Free Pass, 1986.

FODOR, J. A. “Modules, frames, fridgeons, sleeping dogs and the music of the spheres”. In: PYLYSHYN, Z. W. (ed.). The robot’s dilemma: The frame problem in artificial intelligence. Ablex, 1987. pp. 139–149.

FORD, K. M., PYLYSHYN, Z. W. (eds.). “The Robot’s Dilemma Revisited: The Frame Problem in Artificial Intelligence”. Norwood, NJ, USA: Ablex Publishing Corp., 1996.

GALILEI, G. “Dialogues concerning two new sciences”. Tradução de Henry Crewand; Alfonso De Salvio. Dover, 1954.

HACKING, I. “The looping effects of human kinds”. In: Causal Cognition. Oxford University Press, 1996. p. 351–383.

HAQUE, M. D. R., RUBYA, S. “An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews”. JMIR mHealth and uHealth, Vol. 11, maio 2023.

HAUGELAND, J. “Artificial Intelligence: The Very Idea”. Bradford, 1985.

______. “Understanding Natural Language”. In: HAUGELAND, J. (ed.). Having thought. Cambridge: Harvard University Press, 1998a. pp. 47–60.

______. “Mind embodied and embedded”. In: HAUGELAND, J. (ed.). Having thought. Cambridge: Harvard University Press, 1998b. pp. 207-237.

HAWKINGS, A. J. “Uber self-driving car saw pedestrian but didn’t brake before fatal crash, feds say”. The Verge, 2018. Disponível em https://www.theverge.

com/2018/5/24/17388696/uber-self-driving-crash-ntsb-report. Acessado em 11 de março de 2025.

HUANG, L. et al. “A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions”. arXiv:2311.05232, 2023.

HUME, D. “Tratado da natureza humana”. Tradução de Déborah Danowski. São Paulo: Unesp, 2000.

KAPLAN, C. A., SIMON, H. A. “In search of insight. Cognitive Psychology”. Vol. 22, Nr. 3, pp. 374–419, jul. 1990.

KERNS, M., ROTH, A. “The Ethical Algorithm: The Science of Socially Aware Algorithm Design”. Oxford University Press, USA, 2019.

KIVERSTEIN, J., WHEELER, M. “Heidegger and cognitive Science”. New York: Palgrave Macmillan, 2012.

LI, K. et al. “Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task”. arXiv:2210.13382, 2022.

LINARDATOS, P., PAPASTEFANOPOULOS, V., KOTSIANTIS, S. Explainable “AI: A Review of Machine Learning Interpretability Methods”. Entropy, Vol. 23, Nr. 1, p. 18, 2020.

LIU, J. et al. “Towards Out-Of-Distribution Generalization: A Survey”. arXiv:2108.13624, 2021.

MARSHALL, A., DAVIES, A. “Uber’s Self-Driving Car Saw the Woman It Killed, Report Says”. Wired, 2018. Disponível em https://www.wired.com/story/uber-selfdriving-crash-arizona-ntsb-report/. Acessado em 11 de março 2025

MCCARTHY, J. “Programs with common-sense”. In: MINSKY, Marvin (ed.). Semantic information processing. Cambridge: MIT Press, 1968. pp. 403–418.

MCCARTHY, J., HAYES, P. J. “Some philosophical problems from the standpoint of artificial intelligence”. Machine Intelligence, Vol. 4, pp. 463–502, 1969.

MESQUITA, B., BOIGER, M. “Emotions in Context: A Sociodynamic Model of Emotions”. Emotion Review, Vol. 6, Nr. 4, pp. 298–302, 2014.

MINSKY, M. “A framework for representing knowledge”. In: HAUGELAND, J. (ed.). Mind design II: phyosophy, psychology, artificial intelligence. MIT Press, 1997. pp. 111–142.

MINSKY, M. “The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind”. New York: Simon; Schuster, 2006.

NEWELL, A. “Unified Theories of Cognition”. Harvard University Press, 1994.

NIKANKIN, Y. et al. “Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics”. arXiv:2410.21272, 2024.

NORVIG, P., ARCAS, B. A. Y. “Artificial General Intelligence is already here”. Noema, 2023. Disponível em https://www.noemamag.com/artificial-general-intelligence-isalready-here/. Acessado em 24 de março de 2025.

PERINI-SANTOS, E. “Contextualismo”. In: BRANQUINHO, J., SANTOS, R. (eds.). Compêndio em linha de problemas de filosofia analítica. Centro de Filosofia da Universidade de Lisboa, 2014.

PERINI-SANTOS, E. “Espaço social da dúvida: negacionismo, ceticismo e a construção do conhecimento”. Estudos de Sociologia, Vol. 28, Nr. esp. 1, ago. 2023.

PESSOA, L. “The entangled brain: how perception, cognition, and emotion are woven together”. The MIT Press, 2022.

PORTER, B., MACHERY, E. “AI-generated poetry is indistinguishable from human written poetry and is rated more favorably”. Scientific Reports, Vol. 14, Nr. 1, 2024.

PYLYSHYN, Z. W. (ed.). “The Robots Dilemma: The Frame Problem in Artificial Intelligence”. Ablex, 1987.

RUDIN, C. “Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead”. arXiv:1811.10154, 2018.

SCHUSTER, N., LAZAR, S. “Attention, moral skill, and algorithmic recommendation”. Philosophical Studies, 2024.

SMITH, B. C. “The Promise of Artificial Intelligence: Reckoning and Judgment”. MIT Press, 2019.

SPERBER, D.; WILSON, D. “Relevance: communication and cognition”. John Wiley; Sons, 1995.

SPERBER, D., WILSON, D. “Fodor’s frame problem and relevance theory”. Behavioral and brain sciences, Vol. 19, Nr. 3, pp. 530-532, 1996.

SPIES, A. F. et al. “Transformers Use Causal World Models in Maze-Solving Tasks”. arXiv:2412.11867, 2024.

TURING, A. “Computing Machinery and Intelligence”. Mind, Vol. LIX, Nr. 236, pp. 433-460, 1950.

VAFA, K. et al. “Evaluating the World Model Implicit in a Generative Model”. arXiv:2406.03689, 2024.

VERVAEKE, J., FERRARO, L. “Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence”. In: SmartData. Springer New York, 2013. pp. 57-68.

VERVAEKE, J., LILLICRAP, T. P., RICHARDS, B. A. “Relevance Realization and the Emerging Framework in Cognitive Science”. Journal of Logic and Computation, Vol. 22, Nr. 1, pp. 79-99, 2012.

WEIZENBAUM, J. “ELIZA — a computer program for the study of natural language communication between man and machine”. Communications of the ACM, Vol. 9, Nr. 1, pp. 36-45, 1966.

WHEELER, M. “Cognition in context: phenomenology, situated robotics and the frame problem”. International journal of philosophical studies, Vol. 16, Nr. 3, pp. 323-349, 2008.

XU, K. et al. “Adversarial T-shirt! Evading Person Detectors in A Physical World”. arXiv:1910.11099, 2019.

ZHANG, H. et al. “On the Paradox of Learning to Reason from Data”. arXiv:2205.11502, 2022.

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20-01-2026

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A colonização do juízo pelo cálculo. Revista Kriterion, [S. l.], v. 66, n. 162, 2026. Disponível em: https://periodicos.ufmg.br/index.php/kriterion/article/view/58458. Acesso em: 24 jan. 2026.