A Hélice Quádrupla na Era da IA Generativa: Uma Estrutura para Entender a Dinâmica de Inovação Multissetorial
DOI:
https://doi.org/10.51247/st.v8iS1.562Palavras-chave:
Inteligencia artificial, innovación multifactor, plataformas, cuatro hélices.Resumo
Com o surgimento da inteligência artificial generativa a partir de 2022, empresas, cidadãos e governos estão tentando entender como essa tecnologia impactará suas vidas. Várias empresas estão modificando seus processos e se adaptando às novas tecnologias geradas pela inteligência artificial, governos estão tentando emitir regulamentações e controles para proteger os dados dos usuários, e os cidadãos estão vivenciando uma invasão massiva de plataformas e produtos digitais que nos aproximam cada vez mais da inteligência artificial. No entanto, sabemos pouco sobre a direção que essa tecnologia tomará e como essa inovação afeta simultaneamente processos e pessoas. Este artigo tem como objetivo lançar luz sobre esse fenômeno propondo o modelo de quatro hélices de inovação neste campo. Nossas descobertas confirmam que a IA generativa é um catalisador de mudanças em todos os níveis e deve ser considerada como tal.
Downloads
Referências
Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., ... & McGrew, B. (2023). GPT-4 technical report. *arXiv preprint arXiv:2303.08774*.
Aghion, P., Antonin, C., & Bunel, S. (2022). _The power of creative destruction: Economic upheaval and the wealth of nations_. Harvard University Press. https://doi.org/10.4159/9780674260469
Bason, C. (2010). _Leading public sector innovation: Co-creating for a better society_ (1st ed.). Bristol University Press. https://doi.org/10.2307/j.ctt9qgnsd
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? ????. _Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency_, 610-623. https://doi.org/10.1145/3442188.3445922
Benjamin, R. (2019). _Race after technology: Abolitionist tools for the new Jim code_. Polity Press. 978-1509526406
Brynjolfsson, E., & McAfee, A. (2014). _The second machine age: Work, progress, and prosperity in a time of brilliant technologies_. W. W. Norton & Company.
Bozeman, B. (2007). *Public values and public interest: Counterbalancing economic individualism*. Georgetown University Press.
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., ... & Zhang, Y. (2023). Sparks of artificial general intelligence: Early experiments with GPT-4. *arXiv preprint arXiv:2303.12712*.
Carta Iberoamericana de Innovación_. (2020). Retrieved April 17, 2022, from https://clad.org/wp-content/uploads/2020/10/Carta-Iberoamericana-de-Innovacion-10-2020.pdf
Carayannis, E. G., & Campbell, D. F. (2009). "Mode 3" and "Quadruple helix": Toward a 21st century fractal innovation ecosystem. *International Journal of Technology Management, 46*(3/4), 201-234.
Carayannis, E. G., & Campbell, D. F. (2012). *Mode 3 knowledge production in quadruple helix innovation systems*. Springer.
Carayannis, E. G., Grigoroudis, E., Campbell, D. F., Meissner, D., & Stamati, D. (2017). The ecosystem as helix: An exploratory theory‐building study of regional co‐opetitive entrepreneurial ecosystems as Quadruple/Quintuple Helix Innovation Models. *R&D Management, 48*(1), 148-162.
Crawford, K. (2021). _Atlas of AI: Power, politics, and the planetary costs of artificial intelligence_. Yale University Press. https://doi.org/10.2307/j.ctv1ghv45t
Chen, T., Gascó-Hernandez, M., & Esteve, M. (2023). The adoption and implementation of artificial intelligence chatbots in public organizations: Evidence from US state governments. *The American Review of Public Administration*. https://doi.org/10.1177/02750740231200522
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., ... & Fiedel, N. (2022). PaLM: Scaling language modeling with pathways. *arXiv preprint arXiv:2204.02311*.
de Fine Licht, K., & de Fine Licht, J. (2020). Artificial intelligence, transparency, and public decision-making: Why explanations are key when trying to produce perceived legitimacy. *AI & Society, 35*, 917-926.
Etzkowitz, H. (1996). The triple helix: Academic-industry-government relations—Implications for the New York regional innovation environment. *Annals of the New York Academy of Sciences, 787*(1), 67-86.
Etzkowitz, H., & Dzisah, J. (2008). Rethinking development: Circulation in the triple helix. *Technology Analysis and Strategic Management, 20*(6), 653-666.
Etzkowitz, H., & Zhou, C. (2017). *The Triple Helix: University-Industry-Government Innovation and Entrepreneurship*. Routledge.
Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From National Systems and “Mode 2” to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109–123. https://doi.org/10.1016/S0048-7333(99)00055-4
Eubanks, V. (2018). _Automating inequality: How high-tech tools profile, police, and punish the poor_. St. Martin’s Press. ISBN. 1. 978-1250074317
Floridi, L. (2023). _The ethics of artificial intelligence_. Oxford University Press. ISBN: 9780198883098 [https://doi.org/10.1093/oso/9780198883098.001.0001](https://doi.org/10.1093/oso/9780198883098.001.0001)
Gascó, M. (2017). Living labs: Implementing open innovation in the public sector. _Government Information Quarterly_, _34_(1), 90-98.
Galvao, A., Mascarenhas, C., Marques, C., Ferreira, J., & Ratten, V. (2019). Triple helix and its evolution: A systematic literature review. *Journal of Science and Technology Policy Management, 10*(3), 812-833.
Grandinetti, R. (2020, June 15). _¿Por qué el Gobierno Abierto invita a innovar?_ u-GOB. https://u-gob.com/por-que-el-gobierno-abierto-invita-a-innovar/
Gómez Mont, C., Del Pozo, C. M., del Campo Alcocer, M., & Victoria, A. (2020). Artificial intelligence for social good in Latin America and the Caribbean: The regional landscape and 12 country snapshots. *Inter-American Development Bank*.
Heeks, R., & Shekhar, S. (2019). Datafication, development and marginalised urban communities: An applied data justice framework. *Information, Communication & Society, 22*(7), 992-1011.
Hood, C. (1998). *The art of the state: Culture, rhetoric, and public management*. Oxford University Press.
Korinek, A., & Stiglitz, J. E. (2021). _Artificial intelligence, globalization, and strategies for economic development_ (No. w28453). National Bureau of Economic Research. DOI 10.3386/w28453
Leydesdorff, L. (2012). The Triple Helix, Quadruple Helix, ..., and an N-Tuple of helices: Explanatory models for analyzing the knowledge-based economy? *Journal of the Knowledge Economy, 3*(1), 25-35.
Leydesdorff, L., & Deakin, M. (2011). The triple-helix model of smart cities: A neo-evolutionary perspective. *Journal of Urban Technology, 18*(2), 53-63.
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. _Futures_, _90_, 46-60 [https://doi.org/10.1016/j.futures.2017.03.006](https://doi.org/10.1016/j.futures.2017.03.006 "Persistent link using digital object identifier")
Mariani, M., & Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. _Journal of Business Research_, _175_, [https://doi.org/10.1016/j.jbusres.2024.114542](https://doi.org/10.1016/j.jbusres.2024.114542 "Persistent link using digital object identifier")
Mazzucato, M., & Robinson, D. K. (2018). Co-creating and directing innovation ecosystems? NASA's changing approach to public-private partnerships in low-earth orbit. *Technological Forecasting and Social Change, 136*, 166-177.
Mazzucato, M. (2023). *The big con: How the consulting industry weakens our businesses, infantilizes our governments and warps our economies*. Allen Lane.
McGill, R. (1995). Institutional development: A review of the concept. *International Journal of Public Sector Management, 8*(2), 63-79.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. _Big Data & Society_, _3_(2), [https://doi.org/10.1177/2053951716679679](https://doi.org/10.1177/2053951716679679)
Mohamed, S., Png, M., & Isaac, W. (2020). Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence. *Philosophy & Technology, 33*, 659-684.
Muñoz (2024). # ¿Está la IA redefiniendo la investigación científica? El rol de los ciudadanos y la interdependencia entre empresarios e investigadores En periódico EL Financiero. En linea. https://www.elfinanciero.com.mx/opinion/alberto-munoz/2024/06/07/esta-la-ia-redefiniendo-la-investigacion-cientifica-el-rol-de-los-ciudadanos-y-la-interdependencia-entre-empresarios-e-investigadores/ -ultima consulta: 26 junio 2024
Noble, S. U. (2018). _Algorithms of oppression: How search engines reinforce racism_. New York University Press. https://doi.org/10.2307/j.ctt1pwt9w5
OCDE. (2019). _Declaración sobre Innovación en el Sector Público_. Observatory of Public Sector Innovation. https://legalinstruments.oecd.org/en/instruments/oecd-legal-0450
Pasquale, F. (2020). _New laws of robotics: Defending human expertise in the age of AI_. Harvard University Press. ISBN 9780674975224. https://www.hup.harvard.edu/books/9780674975224
Patterson, D., Gonzalez, J., Le, Q., Liang, C., Munguia, L. M., Rothchild, D., ... & Dean, J. (2021). Carbon emissions and large neural network training. _arXiv preprint arXiv:2104.10350_. [https://doi.org/10.48550/arXiv.2104.10350](https://doi.org/10.48550/arXiv.2104.10350)
Rajaram, K., & Tinguely, P. N. (2024). Generative artificial intelligence in small and medium enterprises: Navigating its promises and challenges. _Business Horizons_.67(5) 629-648 [https://doi.org/10.1016/j.bushor.2024.05.008](https://doi.org/10.1016/j.bushor.2024.05.008 "Persistent link using digital object identifier")
Russell, S., & Norvig, P. (2016). «Artificial Intelligence: A Modern
Approach». Englewood Cliffs, NJ: Pearson Higher Ed.
Saavedra Echeverry, S. (2016). Análisis del desarrollo institucional desde el enfoque institucional histórico. *Papel Político, 21*(1), 81-100.
Salas, J., Patterson, G., & de Barros Vidal, F. (2022). A systematic mapping of artificial intelligence solutions for sustainability challenges in Latin America and the Caribbean. *IEEE Latin America Transactions, 20*(11), 2312-2329.
Sedkaoui, S.](https://www.emerald.com/insight/search?q=Soraya%20Sedkaoui "Soraya Sedkaoui") and [Benaichouba, R.](https://www.emerald.com/insight/search?q=Rafika%20Benaichouba "Rafika Benaichouba") (2024), "Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges", _[European Journal of Innovation Management](https://www.emerald.com/insight/publication/issn/1460-1060)_, [https://doi.org/10.1108/EJIM-02-2024-0129](https://doi.org/10.1108/EJIM-02-2024-0129 "DOI: https://doi.org/10.1108/EJIM-02-2024-0129")
Spencer, A. (1996). Institutional development: What are we talking about? *Water and Environment Journal, 10*, 369-375.
Shepard, H. A. (1967). Innovation-resisting and innovation-producing organizations. _The journal of Business_, _40_(4), 470-477.
Strubell, E., Ganesh, A., & McCallum, A. (2021). Energy and policy considerations for deep learning in NLP. _Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics_, 3645-3650. https://doi.org/10.18653/v1/P19-1355
Sun, T. Q., & Medaglia, R. (2019). «Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare». Government Information Quarterly, 36(2), pp. 368–383.
Sundberg, L., & Holmström, J. (2024). Innovating by prompting: How to facilitate innovation in the age of generative AI. _Business Horizons_. 67 (5), pp. 561-570 [https://doi.org/10.1016/j.bushor.2024.04.014](https://doi.org/10.1016/j.bushor.2024.04.014 "Persistent link using digital object identifier")
Timmermans, S., & Tavory, I. (2012). Theory construction in qualitative research: From grounded theory to abductive analysis. Sociological Theory, 30(3), 167–186. https://doi.org/10.1177/0735275112457914
Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2020). The computational limits of deep learning. _arXiv preprint arXiv:2007.05558_, _10_.[
https://doi.org/10.48550/arXiv.2007.05558](https://doi.org/10.48550/arXiv.2007.05558)|
Thoppilan, R., De Freitas, D., Hall, J., Shazeer, N., Kulshreshtha, A., Cheng, H. T., ... & Le, Q. (2022). LaMDA: Language models for dialog applications. *arXiv preprint arXiv:2201.08239*.
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M. A., Lacroix, T., ... & Lample, G. (2023). Llama: Open and efficient foundation language models. *arXiv preprint arXiv:2302.13971*.
Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gómez, E. A. (2020). «Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation». Government Information Quarterly, 37(4).
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., ... & Le, Q. (2022). Chain of thought prompting elicits reasoning in large language models. *arXiv preprint arXiv:2201.11903*.
Wilson, C. (2022). Public engagement and AI: A values analysis of national strategies. *Government Information Quarterly, 39*(1), 101652.
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector: Applications and challenges. *International Journal of Public Administration, 42*(7), 596-615.
Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Sage Publications.
Zarsky, T. (2016). The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. _Science, Technology, & Human Values_, _41_(1), 118-132.
Downloads
Publicado
Edição
Secção
Licença
Direitos de Autor (c) 2025 Rodrigo Sandoval-Almazan
Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição-NãoComercial-CompartilhaIgual 4.0.
