Parliamentary Action and the Theory of Responsive Regulation in AI Regulation in Brazil
Keywords:
Responsive Regulation. Artificial Intelligence (AI). Senate. Law. Temporary Committee for Artificial Inteligence (TCAI)Abstract
[Purpose] This article presents an analysis of Bill No. 2,338 of 2023, which proposes the regulation of the development, application, and use of Artificial Intelligence in Brazil. The analysis is based on the following research question: how does the text approved by the Federal Senate for the regulation of Artificial Intelligence in Brazil align with the Theory of Responsive Regulation? The main hypothesis formulated for the study is that there is no proposal for responsive regulation in AI regulation in Brazil. To answer the research question and test the formulated hypothesis, legislative texts related to Bill No. 2,338 of 2023 will be analyzed. The general objective is to identify, in these texts under review by the Senate, whether there are elements that indicate a responsive regulation approach. The database for the analysis consists of the initial text of Bill No. 2,338 of 2023, presented by Senator Rodrigo Pacheco (PSD/MG), the initial report presented by Senator Eduardo Gomes (PL/TO), the final report approved by the Temporary Committee on Artificial Intelligence (CTIA), and the final version approved by the Senate Plenary.
[Methodology/approach/design] The theoretical framework for the study is the Theory of Responsive Regulation, developed by Braithwaite and Ayres. Based on the assumptions and recommendations outlined in this theory, a content analysis of the texts comprising the database will be conducted to identify elements of responsive regulation. For the computerized Content Analysis will be used the IraMuteQ tool, a software developed for syntactic, similarity, and term occurrence analyses. The selection of terms for analysis will begin with the elimination of endogenous words and terms, i.e., those inherent to the object of study, such as Artificial Intelligence, Bill, Amendment, etc. After this initial screening, terms deemed relevant to the analysis will be selected, particularly those that may lead to a responsive regulation approach. The objective of the analysis is to identify the presence of terms and correlations that indicate elements of responsive regulation in the listed documents. The analysis will also include a comparative process between the various texts in the database to determine how elements of responsive regulation appear—or do not appear—throughout the evolution of the discussions. The proposed content analysis allows for contextualization of the terms in the texts, enabling the description of their meanings and applications.
[Results] Through the content analysis described in the methodology, the actions of the parliamentarians distanced the final text of Bill 2338 of 2023 from the principles of responsive regulation. The analyses provided by the IraMuteQ software describe the connection between the selected terms, their correlations, and similarities throughout the texts, allowing for an understanding of their applications and meanings.
[Practical implications] The primary practical implication of this article is to contribute to the debates on the regulation of Artificial Intelligence in Brazil. It is known that the proposed and approved text by the Senate still has a long path ahead in the Chamber of Deputies, where it will inevitably receive new elements, undergo changes, and may return to the Senate. Thus, the contribution of this article is to add another perspective to the analysis and study of the regulation of so-called disruptive technologies, without the intention of being exhaustive or conclusive on the subject.
[Originality/relevance of the text] The originality of the study proposed in this article lies in the fact that the regulation of Artificial Intelligence is still a topic under debate, not only in Brazil. Here, discussions still have a long way to go before the country has specific legislation, and even after that, due to the characteristics of the regulated subject, discussions will continue regarding the updating of legal and regulatory norms. From another perspective, there is also originality in examining what Parliament proposes on this matter, as it is a relevant arena in these discussions and deserves academic attention.
References
ABREU FREIRE, K. Regulação e Autorregulação da IA no Brasil. In: Inteligência Artificial e Direito Administrativo. SADDY, A. (coord.). Rio de Janeiro: CEEJ, 2022, p. 185-224
ACEMOGLU, D. Harms of AI. Oxford, UK: The Oxford Handbook of AI Governance. Oxford University Press. Agosto de 2021. Disponível em: https://economics.mit.edu/sites/default/files/publications/Harms%20of%20AI.pdf Acesso em: 26 nov. 2024.
ARANHA, M. I.; LOPES, O. DE A. Estudo sobre Teorias Jurídicas da Regulação apoiadas em incentivos. Brasília, DF: Centro de Políticas, Direito, Economia e Tecnologias das Comunicações, UnB, 2019.
BAIRD, M. F. Teorias da regulação: captura e instituições. In: Alimentação em jogo: o lobby na regulação da publicidade no Brasil [online]. Santo André: Editora UFABC, 2021, pp. 49-66. Disponível em: https://doi.org/10.7476/9786589992264.0004. Acesso em: 24 jan. 2025.
BARBOSA, L. F.; PINHEIRO, C. da R. Inteligência artificial no Brasil: avanços regulatórios. Brasília, DF: Revista de Informação Legislativa: RIL, v. 60, n. 240, out./dez. 2023, p. 11-41. Disponível em: https://www12.senado.leg.br/ril/edicoes/60/240/ril_v60_n240_p11.pdf/view Acesso em: 01 fev. 2025.
BARDIN, L. Análise de conteúdo. Lisboa: Edições 70, 2010.
BECKER, G. S. A Theory of Competition Among Pressure Groups for Political Influence. Oxford: UK. The Quarterly Journal of Economics, aug. 1983, Vol. 98, No. 3, pp. 371-400 Disponível em: https://www.jstor.org/stable/1886017 Acesso em: 17 dez. 2024.
BRAITHWAITE, J. The Essence of Responsive Regulation. Vancouver, Canadá: Fasken Lecture. In: University of British Columbia Law Review, 44(3), 2011. p. 475-520.
BRASIL. Projeto de Lei 2338 de 2023. Brasília, DF: Congresso Nacional, 2023. Disponível em: https://www.congressonacional.leg.br/materias/materias-bicamerais/-/ver/pl-2338-2023 Acesso em: 11 fev. 2025.
BRASIL. Relatório de Acompanhamento - Acórdão 616/2024. Brasília, DF: Tribunal de Contas da União, 2024. Disponível em: https://pesquisa.apps.tcu.gov.br/documento/acordao-completo/*/KEY%253AACORDAO-COMPLETO-2648855/DTRELEVANCIA%2520desc%252C%2520NUMACORDAOINT%2520desc/0 Acesso em: 20 dez. 2024.
BRASIL. Relatório de Acompanhamento. Brasília, DF: Tribunal de Contas da União, 2022. Disponível em: https://pesquisa.apps.tcu.gov.br/documento/processo/*/NUMEROSOMENTENUMEROS%253A666220218/DTAUTUACAOORDENACAO%2520desc%252C%2520NUMEROCOMZEROS%2520desc/0/%2520 Acesso em: 20 dez. 2024.
BRASIL. Relatório final ao PL 21 de 2020. Brasília, DF: Câmara dos Deputados, 2021. Disponível em: https://www.camara.leg.br/proposicoesWeb/prop_mostrarintegra?codteor=2082139&filename=Tramitacao-PL%2021/2020 Acesso em: 20 dez. 2024.
BRASIL. Nota Técnica da ANPD sobre regulação da IA no Brasil. Brasília, DF: ANPD, 2023. Disponível em: https://www.gov.br/anpd/pt-br/assuntos/noticias/Nota_Tecnica_16ANPDIA.pdf Accesso em: 15 dez. 2024.
BRKAN, M. Artificial Intelligence and Democracy: the impact of disinformation, social bots and political targeting. Delphi - Interdisciplinary Review of Emerging Technologies, Berlin, Vol. 1, 2019, p. 66-71. Online disponível em: https://doi.org/10.21552/delphi/2019/2/4 Acesso em: 8 fev. 2025.
BUCHANAN, J. M.; TULLOCK, G. The Cauculus of Consent: logical foundations of constitutional democracy. Indianapolis: USA. Liberty Fund Inc., 1999.
BURRI, T. The New Regulation of the European Union on Artificial Intelligence. The Cambridge Handbook of Responsible artificial Intelligence: Interdisciplinary Perspectives (Voeneky, S. et al. editors). Cambridge, UK, Cambridge University Press, p. 104-122, 2022. Online disponível em: https://doi.org/10.1017/9781009207898.010 Acesso em: 8 fev. 2025.
COHEN, J. E. Between truth and power: the legal constructions of informational capitalism. New York, NY : Oxford University Press, 2019.
DOUGLAS, D. M.; LACEY, J. & HOWARD, D. Ethical Risk for AI. AI and Ethics. Springer Nature. August, 8th, 2024. Online. Disponível em: https://link.springer.com/article/10.1007/s43681-024-00549-9#citeas Acesso em: 10 fev. 2025.
DRUZIN, B. H; BOUTE, A.; RAMSDEN, M. Confronting Catastrophic Risk: the international obligation to regulate artificial intelligence. Ann Arbor, USA: Michigan Journal of International Law, n. 46, jan. 2025 Disponível em: https://www.researchgate.net/publication/380668334_Confronting_Catastrophic_Risk_The_International_Obligation_to_Regulate_Artificial_Intelligence Acesso em: 26 jan. 2025.
EBERS, M. Truly Risk-Based Regulation of Artificial Intelligence - How to Implement the EU's AI Act. Berlin: Elsevier, June 19th, 2024. Available at SSRN: https://ssrn.com/abstract=4870387 or http://dx.doi.org/10.2139/ssrn.4870387 Acesso em: 8 dez. 2024.
FERRARA, E. Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference. July, 1st. 2024. Disponível em: SSRN: https://ssrn.com/abstract=4883403 or http://dx.doi.org/10.2139/ssrn.4883403 Acesso em: 8 fev. 2025.
GUNKEL, D. J. An Introduction to Communication and Artificial Intelligence. Medford, USA: Polity Press, 2020.
INSTITUTO TECNOLOGIA E SOCIEDADE (ITS). Como regular a Inteligência Artificial? Expandindo horizontes para além da União Europeia. Rio de Janeiro, RJ: ITS, abril de 2024. Disponível em: https://itsrio.org/wp-content/uploads/2016/12/20240404_Relatorio_Microsoft_Como-Regular-IA_3.pdf Acesso em: 15 dez. 2024.
JUNGHERR, A. Artificial Intelligence and Democracy: a conceptual framework. Social Media + Society. jul/sep. 2023, v. 9, n. 3, p. 1-14. Online disponível em: https://doi.org/10.1177/20563051231186353 Acesso em: 01 fev. 2025.
KOLIEB, J. When to punish, when to persuade and when to reward: strengthening responsive regulation with the regulatory diamond. Clayton, Australia: Monash University Law Review. November, 2015, p. 136-162. Acesso em: 26 jan. 2025.
KRIPPENDORFF, K. Content Analysis: an introduction to its methodology. 4th Edition, Thousand Oaks, CA: SAGE Publications, Inc., 2019. Sage Research Methods.
MANHEIM, K. E KAPLAN, L. Artificial Intelligence: risks to privacy and democracy. Yale Journal of Law and Technology. New Haven, USA, v. 21, 2019, p. 108-188.
MELO, A. K. A.; SOUZA, G. C.; VASCO, A C.; REIS, Bruno S. Regulação da Inteligência Artificial: benchmarking de países selecionados. Brasília, DF: ENAP, dezembro de 2022. 35 p. Disponível em: http://repositorio.enap.gov.br/handle/1/7419 Acesso em: 10 dez. 2024.
NEMITZ, P. Constitucional democracy and technology in the age of artificial intelligence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. London, UK, vol. 376, n. 2133, nov. 2018. Online disponível em: https://doi.org/10.1098/rsta.2018.0089 Acesso em: 9 fev. 2025.
NOVELLI, C., CASOLARI, F., ROTOLO, A. et al. AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act. Online. Digital Society. Vol. 3, 13, 2024. https://doi.org/10.1007/s44206-024-00095-1 Acesso em: 27 jan. 2025.
OLSON, M. The Logic of Collective Action. Cambridge: USA. Harvard University Press, 1971.
O’NEIL, C. Algoritmos de destruição em massa: como big data aumenta a desigualdade e ameaça a democracia. Tradução: Rafael Abraham. Santo André, SP: Editora Rua do Sabão, 2020.
PELTZMAN, S. Toward a More General Theory of Regulation. The Journal of Law & Economics, vol. 19, no. 2, 1976, pp. 211–40. Disponível em: www.doi.org/10.3386/w0133 Acesso em: 26 jan. 2025.
PIGOU, A. C. The Economics of Welfare. London: UK. MacMillan and Co., 1920.
POSNER, Richard. Economic Analysis of Law. 3a Ed. Boston: USA. Little Brown and Company, 1986.
RISSE, M. Artificial Intelligence and the Past, Present, and Future of Democracy. The Cambridge Handbook of Responsible artificial Intelligence: Interdisciplinary Perspectives (Voeneky, S. et al. editors). Cambridge, UK, Cambridge University Press, p. 85-103, 2022. Online disponível em: https://doi.org/10.1017/9781009207898.009 Acesso em: 02 fev. 2025.
SILVA, Sivaldo P. Democracia, Inteligência Artificial e Desafios Regulatórios: direitos, dilemas, e poder em sociedades datificadas. Brasília, DF: E-Legis - Revista Eletrônica do Programa de Pós-Graduação da Câmara dos Deputados, v. 13, n. 33, set/dez 2020, p. 226-248. Disponível em: https://e-legis.camara.leg.br/cefor/index.php/e-legis/article/view/600. Acesso em: 9 dez. 2024.
The Global Partnership on Artificial Intelligence - GPAI. The New Delhi Declaration. New Delhi: GPAI Meeting, 3-4 July, 2024. Disponível em: https://pib.gov.in/PressReleasePage.aspx?PRID=2030534 Acesso em: 25 nov. 2024.
ÜVER, H. A. Artificial Intelligence, Authoritarianism and the Future of Political Systems. Centre for Economics and Foreign Policy Studies: Istanbul, Turkey, 2018. Online disponível em: https://www.jstor.org/stable/resrep26084 Acesso em: 10 dez. 2024.
VAN DIJCK, J.; POELL, T.; DE WAAL, M. The Platform Society: public values in a connective world. Oxford, UK: Oxford University Press, Oxford Academic, 2018.
WHITE, M. D.; MARSH, E. Content analysis: A flexible methodology. Library Trends. 55. 10.1353/lib.2006.0053. Disponível em: https://muse.jhu.edu/article/202361 Acesso em: 7 fev. 2025.
ZANOTTI, G; CHIFFI, D; SCHIAFFONATI, V. AI-Related Risk: An Epistemological Approach. Dordrecht, Holanda: Philosophy and Technology. Springer Science+Business Media. 2024, p. 37-66 Disponível em: https://www.researchgate.net/publication/380879542_AI-Related_Risk_An_Epistemological_Approach/citations Acesso em: 10 dez. 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Law and Regulation

This work is licensed under a Creative Commons Attribution 4.0 International License.
By submitting this paper to the Journal of Law and Regulation, I hereby declare that I agree to the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0), available at http://creativecommons.org/licenses/by/4.0.
