Artificial intelligence patents in Brazil

characterization of a technological domain

Authors

DOI:

https://doi.org/10.5433/1981-8920.2024v29n3p1

Keywords:

Patentometrics, Domain Analysis, Artificial Intelligence, INPI

Abstract

Objective: The research aims to characterize the technological domain formed by Artificial Intelligence patents in Brazil, filed at the National Institute of Industrial Property, by both residents and non-residents. It identifies the filing institutions, inventors, classification areas, and the registration date of the filings. The study points out the application of Artificial Intelligence in the main established classification areas, the collaboration between filers and inventors, as well as the social factors that enhance their production, related to the development of technologies, infrastructure, and resources.
Methodology: This is a descriptive study with a quantitative approach, applying patentometric analysis combined with historical and epistemological studies to the patents retrieved from the National Institute of Industrial Property.
Results: Artificial Intelligence patents in Brazil have been showing growth since 2016. The techniques used in the inventions pertain to modern Artificial Intelligence and are mainly concentrated in the field of Physics. The filers are primarily private companies. Collaboration is present but limited, with an emphasis on national collaboration, and Brazil is the country with the highest number of filings.
Conclusions: Brazilian residents consider it important to protect inventions in Brazil, as do the USA and various European countries. The established methodological procedures efficiently characterized the patent filings and the patents themselves, as well as, in general, how patenting occurs in Brazil. Information Science, through Metric Studies of Information, combined with Domain Analysis, can, through this approach, contribute to the understanding and dissemination of technological information and technological fields.

Downloads

Author Biographies

Janaina Laís Pacheco Lara Morandin, Universidade Estadual Paulista - UNESP

PhD student in the Postgraduate Program in Information Science at the Universidade Estadual Paulista (UNESP), São Paulo, Brasil.

Ana Maria Mielniczuk de Moura, Universidade Federal do Rio Grande do Sul - UFRGS

PhD from the Universidade Federal do Rio Grande do Sul (UFRGS). Professor at the Department of Information Science of the School of Library Science and Communication and the Postgraduate Program in Information Science (PPGCIN) of the Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brasil.

References

ALVES, Kariston Dias et al. Inteligência artificial - aplicações e tendências. Brazilian Journal of Development, Curitiba, v. 9, n. 4, p. 12560-12576, abr. 2023. Disponível em: https://www.researchgate.net/publication/369766291_Inteligencia_artificial_- aplicacoes_e_tendencias. Acesso em: 16 nov. 2023. DOI: https://doi.org/10.34117/bjdv9n4-002

BOEING. Boeing HorizonX Invests in Artificial Intelligence Leader SparkCognition, 2017. Disponível em: https://boeing.mediaroom.com/2017-06- 26-Boeing-HorizonX-Invests-in-Artificial-Intelligence-Leader- SparkCognition?_gl=1*1cjj5l5*_ga*MTY5MzAyOTEyMC4xNjkxNTQ0MTI3*_ga_ 3N2PEGZ4HD*MTY5MTU0NDEyNy4xLjEuMTY5MTU0NDUxNy4wLjAuMA. Acesso em: 09 ago. 2023.

BRAGADO, Louise. Brasil pode construir sua própria estratégia de IA, defende especialista global e CEO da Defined.ai, 2023. Disponível em: https://epocanegocios.globo.com/tecnologia/noticia/2023/06/brasil-pode- construir-sua-propria-estrategia-de-ia-defende-especialista-global-e-ceo-da- definedai.ghtml. Acesso em: 10 set. 2023.

CHANG, Shu-Hao. The technology networks and development trends of university-industry collaborative patents. Technological Forecasting & Social Change, [S. l.], v. 118, p. 107–113, 2017. Disponível em: http://dx.doi.org/10.1016/j.techfore.2017.02.006. Acesso em: 27 nov. 2022. DOI: https://doi.org/10.1016/j.techfore.2017.02.006

DONEDA, Danilo Cesar Maganhoto et al. Considerações iniciais sobre inteligência artificial, ética e autonomia pessoal. Pensar Revista de Ciências Jurídicas, Fortaleza, v. 23, n. 4, p. 1-17, out./dez. 2018. Disponível em: http://dx.doi.org/10.5020/2317-2150.2018.8257. Acesso em: 06 fev. 2022. DOI: https://doi.org/10.5020/2317-2150.2018.8257

DUAN, Yanqing; EDWARDS, John; DWIVEDI, Yogesh. Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, [S. l.], v. 48 p. 63–71, out. 2019. Disponível em :http://dx.doi.org/10.1016/j.ijinfomgt.2019.01.021. Acesso em: 26 out. 2022. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.01.021

EMPRESA BRASILEIRA DE PESQUISA E INOVAÇÃO INDUSTRIAL. Quem somos, 2023. Disponível em: https://embrapii.org.br/institucional/quem-somos/. Acesso em: 09 ago. 2023

EUROPEAN COMMISSION. Commission supports the Netherlands in setting up national Artificial Intelligence supervision system trough the Technical Support Instrument, 2023. Disponível em: https://commission.europa.eu/news/commission-supports-netherlands-setting- national-artificial-intelligence-supervision-system-through-2023-10-05_en. Acesso em: 07 nov. 2023.

FREITAS, Juliana Lazzarotto; GABRIEL JUNIOR, Rene Faustino; BUFREM, Leilah Santiago. Theoretical Approximations Between Brazilian and Spanish Authors’ Production in the Field of Knowledge Organization in the Production of Journals on Information Science in Brazil. Knowledge Organization, Frankfurt, v. 39, n. 3, 2012. Disponível em: https://web-p- ebscohost.ez45.periodicos.capes.gov.br/ehost/detail/detail?vid=12&sid=790ef2 4f-b6cf-49ee-84fb- dc2040f2daba%40redis&bdata=Jmxhbmc9cHQtYnImc2l0ZT1laG9zdC1saXZl# AN=75340228&db=iih. Acesso em: 16 fev. 2023.

FUJII, Hidemishi; MANAGI, Sunshuke. Trends and priority shifts in artificial intelligence technology invention: A global patent analysis. Economic Analysis and Policy, Queensland, 58, p. 60-69, 2018. Disponível em: https://doi.org/10.1016/j.eap.2017.12.006. Acesso em: 11 ago. 2023. DOI: https://doi.org/10.1016/j.eap.2017.12.006

FUNDAÇÃO CPQD CENTRO DE PESQUISA E DESENVOLVIMENTO EM TELECOMUNICAÇÕES. Inteligência artificial: amplie suas capacidades de personalização, previsão e tomada de decisão, 2023. Disponível em: https://www.cpqd.com.br/inteligencia-artificial-ia/. Acesso em: 09 ago. 2023.

GAO, Hui; DING, Xiuhao. The research landscape on the artificial intelligence: a bibliometric analysis of recent 20 years. Multimedia Tools and Applications, Switzerland, n. 81, p. 12973–13001, 2022. Disponível em: https://doi.org/10.1007/s11042-022-12208-4. Acesso em: 15 ago. 2023. DOI: https://doi.org/10.1007/s11042-022-12208-4

GARCEZ, Artur d’Avila; LAMB, Luis C. Neurosymbolic AI: The 3 rd wave. Artificial Intelligence Review, [S. l.], p. 1-20, 2023. Disponível em: https://arxiv.org/abs/2012.05876. Acesso em: 01 jul. 2023.

GARCIA, Renato; RAPINI, Márcia; CÁRIO, Silvio. Estudos de caso da interação universidade empresa no Brasil. Belo Horizonte: FACE / UFMG, 2018. Disponível em: https://www3.eco.unicamp.br/Neit/images/destaque/Estudos_de_caso_da_inter acao_universidade-empresa_no_Brasil.pdf. Acesso em: 01 set. 2022.

GOETZE, Christiane. An empirical enquiry into co-patent networks and their stars: The case of cardiac pacemaker technology. Technovation, [S. l.], v. 30, p. 436–446, 2010. Disponível em: doi:10.1016/j.technovation.2010.03.003. DOI: https://doi.org/10.1016/j.technovation.2010.03.003

Acesso em: 27 out. 2023.

GOVERNMENT AI READINESS INDEX. Oxford Insights. Malvern: 2019. Disponível em: https://www.oxfordinsights.com/ai-readiness2019. Acesso em: 06 fev. 2022.

GUI, Quinchang; LIU, Chengliang; DU, Debi. International Knowledge Flows and the Role of Proximity. Growth and Change, Hoboken, v. 49, n. 3, p. 532- 547, 2018. Disponível em: http://dx.doi.org/ 10.1111/grow.12245. Acesso em: 27 out. 2023. DOI: https://doi.org/10.1111/grow.12245

HJORLAND, Birger. Domain analysis in information science: eleven approaches. Journal of Documentation, Yorkshire, v. 58, n. 4, p. 422-462, 2002. Disponível em: http://dx.doi.org/ 10.1108/00220410210431136. Acesso em: 02 dez. 2022. DOI: https://doi.org/10.1108/00220410210431136

HJORLAND, Birger. Domain analysis. Knowledge Organization, Frankfurt, v. 44, n. 6, p. 436-464, 2017. Disponível em: https://doi.org/10.5771/0943-7444-2017-6-436. Acesso em: 05 maio 2023. DOI: https://doi.org/10.5771/0943-7444-2017-6-436

HUAWEI. Quem é a Huawei. c2024. Disponível em: https://www.huawei.com/br/corporate-information. Acesso em: 09 ago. 2023.

INSTITUTO NACIONAL DA PROPRIEDADE INDUSTRIAL. Inteligência Artificial: Análise do mapeamento tecnológico do setor através das patentes depositadas no Brasil. Rio de Janeiro: INPI, 2020. Disponível em: https://www.gov.br/inpi/pt-br/assuntos/informacao/radares-tecnologicos Acesso em: 24 fev. 2023.

IPESI DIGITAL. Países mais avançados ajustam programas de pesquisa e desenvolvimento de robótica, 2021. Disponível em: https://ipesi.com.br/paises-mais-avancados-ajustam-programas-de-pesquisa-e- desenvolvimento-de-robotica/. Acesso em: 16 nov. 2023.

JIANG, Lidan et al. Exploring the patterns of international technology difusion in AI from the perspective of patent citations. Scientometrics, Dordrecht, n. 127, p. 5307-5323, 2021. Disponível em: http://dx.doi.org/10.1007/s11192-021-04134-3. Acesso em: 11 nov. 2022. DOI: https://doi.org/10.1007/s11192-021-04134-3

JORDAN, Michael I. Artificial Intelligence: the revolution hasn’t happened yet. Harvard Data Science Review, [s. l.], v. 1, n. 1, jul. 2019. Disponível em: http://dx.doi.org/10.1162/99608f92.f06c6e61 Acesso em: 10 fev. 2022. DOI: https://doi.org/10.1162/99608f92.f06c6e61

LARROYED, Aline. Redefining Patent Translation: The Influence of ChatGPT and the Urgency to Align Patent Language Regimes in Europe with Progress in Translation Technology. GRUR International, Munich, v. 72, n. 11, p. 1009– 1017, 2023. Disponível em: https://doi.org/10.1093/grurint/ikad099 Acesso em: 06 nov. 2023. DOI: https://doi.org/10.1093/grurint/ikad099

LUGER, George. Inteligência Artificial. São Paulo: Pearson Education do Brasil, 2013.

MENDES, Vinicius. A economia política da inteligência artificial: o caso da Alemanha. Revista de Sociologia e Política, Curitiba, v. 30, 2022. Disponível em: http://dx.doi.org/ 10.3895/rts.v16n45.11318 Acesso em: 16 nov. 2023. DOI: https://doi.org/10.1590/1678-98732230e003

MEYER, Martin; BHATTACHARYA, Sujit. Commonalities and differences between scholarly and technical collaboration. Scientometrics, Dordrecht, v. 61, n. 3, p. 443-456, 2004. Disponível em: http://dx.doi.org/10.1023/b:scie.0000045120.04489.80 Acesso em: 10 jul. 2022. DOI: https://doi.org/10.1023/B:SCIE.0000045120.04489.80

MOED, Henk F. Applied evaluative informetrics. Amsterdam: Springer, 2017. Disponível em: https://link.springer.com/content/pdf/10.1007/978-3-319-60522-7.pdf acesso em 13 ago. 2022. DOI: https://doi.org/10.2139/ssrn.2969742

MOURA, Ana Maria M. de et al. Panorama das patentes depositadas no Brasil: uma análise a partir dos maiores depositantes de patentes na base Derwent Innovations Index. Brazilian Journal of Information Science: Research Trends, Marília, v. 13, n. 2, p. 59-68, 2019. Disponível em: http://dx.doi.org/10.5016/brajis.v13i2.8639 Acesso em: 12 jul. 2022. DOI: https://doi.org/10.36311/1981-1640.2019.v13n2.06.p59

MUGNAINI, Rogério; JANNUZZI, Paulo de Martino; QUONIAM, Luc. Indicadores bibliométricos da produção científica brasileira: uma análise a partir da base Pascal. Ciência da Informação, Brasília, v. 33, n. 2, p. 123-131, maio/ago. 2004. Disponível em: http://dx.doi.org/https://doi.org/10.1590/S0100- 19652004000200013 Acesso em: 04 nov. 2022. DOI: https://doi.org/10.1590/S0100-19652004000200013

NORONHA, Daisy Pires; MARICATO, João de Melo. Estudos métricos da informação: primeiras aproximações. Encontros Bibli: revista eletrônica de Biblioteconomia e Ciência da Informação, Florianópolis, núm. esp, p. 116-128, 2008. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/1518- 2924.2008v13nesp1p116 Acesso em: 28 jun. 2022. DOI: https://doi.org/10.5007/1518-2924.2008v13nesp1p116

ORGANIZATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT. Patent Statistics Manual. OECD Publishing, Paris, 2009. Disponível em: https://doi.org/10.1787/9789264056442-en Acesso em: 08 nov. 2023. DOI: https://doi.org/10.1787/9789264056442-en

PHILIPS. Inovar para enfrentar os desafios globais de saúde. c2024. Disponível em: https://www.philips.com.br/a-w/about.html Acesso em: 09 ago. 2023.

QUALCOMM. Artificial intelligence: AI makes life more intuitive. [s.d.]. Disponível em: https://www.qualcomm.com/products/technology/artificial- intelligence Acesso em:19 jul. 2023.

ROSAS, Fábio Sampaio; GRÁCIO, Maria Cláudia Cabrini. Colaboração científica como procedimento para a análise de um domínio: uma aplicação na área de Zootecnia. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, Florianópolis, v. 20, n. 43, p. 115-132, maio/ago. 2015.Disponível em: http://dx.doi.org/10.5007/1518-2924.2015v20n43p115 Acesso em: 02 dez. 2022. DOI: https://doi.org/10.5007/1518-2924.2015v20n43p115

SARAVALLI, Tadeu Luciano. Políticas públicas “Made in China”. Jornal O Estadão, 2018. Disponível em: https://www.estadao.com.br/politica/blog-do- mlg/politicas-publicas-made-in-china/ Acesso em: 16 jan. 2023.

SHUIJING, Hu. Quantitative analysis of China’s artificial intelligence technology patents. Procedia Computer Science, [S. l.], v. 208, p. 18–23, 2022. Disponível em: http://dx.doi.org/10.1016/j.procs.2022.10.004 Acesso em: 18 jan. 2023. DOI: https://doi.org/10.1016/j.procs.2022.10.004

TEFFÉ, Chiara Spadaccini de; MEDON, Filipe. Responsabilidade civil e regulação de novas tecnologias: questões acerca da utilização de inteligência artificial na tomada de decisões empresariais. Revista Estudos Institucionais, Rio de janeiro, v. 6, n. 1, p. 301-333, jan./abr. 2020. Disponível em: https://www.estudosinstitucionais.com/REI/article/view/383 Acesso em: 03 fev. 2022. DOI: https://doi.org/10.21783/rei.v6i1.383

TSE, Edward. Opinion: China’s quest to become the global leader in AI. The Washington Post, 2017. Disponível em: https://www.washingtonpost.com/news/theworldpost/wp/2017/10/19/inside- chinas-quest-to-become-the-global-leader-in-ai/?noredirect=on. Acesso em: 06 fev. 2022.

TSENG, Chun-Yao; TING, Ping-Ho. Patent analysis for technology development of artificial intelligence: A country-level comparative study, Innovation, London, v. 15, n. 4, p. 463-475, 2013. Disponível em: http://dx.doi.org/ 10.5172/impp.2013.15.4.463 Acesso em: 14 ago. 2023. DOI: https://doi.org/10.5172/impp.2013.15.4.463

UNIVERSIDADE ESTADUAL DE CAMPINAS. Inova Agência de Inovação da Unicamp. 2023. Disponível em: https://www.inova.unicamp.br/ Acesso em: 09 ago. 2023.

VANZ, S. A. de S., GRÁCIO, M. C. C.; OLIVEIRA, S. C de. et al. Collaboration strategies and corresponding authorship in Agronomy research of Brazilian academic and non-academic institutions. Scientometrics, Dordrecht, v.128, p. 6403–6426, 2023. Disponível em: https://doi- org.ez87.periodicos.capes.gov.br/10.1007/s11192-023-04857-5 Acesso em 16 maio 2024. DOI: https://doi.org/10.1007/s11192-023-04857-5

WORLD INTELLECTUAL PROPERTY ORGANIZATION. WIPO Technology Trends 2019: Artificial Intelligence. Genebra: World Intellectual Property Organization, 2019. Disponível em: https://www.wipo.int/publications/en/details.jsp?id=4386 Acesso em: 13 dez. 2022.

Published

2024-12-30

How to Cite

Morandin, J. L. P. L., & Moura, A. M. M. de. (2024). Artificial intelligence patents in Brazil: characterization of a technological domain. Informação & Informação, 29(3), 1–26. https://doi.org/10.5433/1981-8920.2024v29n3p1