The Impact of Artificial Intelligence in Software Development
Resumo
The rise of Artificial Intelligence (AI) has brought significant transformations to software development and the job market. This study explores the integration of AI in various contexts within the Information Technology (IT) industry, including quality control, process automation, service management, and security. The analysis details how these technologies are reshaping traditional practices and redefining the roles of IT professionals. Additionally, the impact of AI on the job market is examined, highlighting automation of repetitive tasks, wage polarization, and the increasing demand for specialized skills. The research reveals that despite the challenges, AI adoption offers substantial opportunities to enhance efficiency and create new business models. The conclusion underscores the need for a strategic approach to AI implementation, balancing technological innovation with ongoing professional development and adaptation, ensuring an equitable and effective transition to a more automated and technologically advanced work environment.
Palavras-chave:
Artificial Intelligence (AI), Software Development, Job Market, Workforce Transformation, Technological Innovation
Referências
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D. H. Autor and D. Dorn, “The growth of low-skill service jobs and the polarization of the US labor market,” American Economic Review, vol. 103, pp. 1553–1597, 2013.
M. Vivarelli, “The economics of technology and employment: Theory and empirical evidence,” Journal of Economic Behavior Organization, vol. 27, pp. 243–264, 1995.
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M. Piva and M. Vivarelli, “Innovation and employment: An overview,” IZA World of Labor, vol. 422, pp. 1–10, 2018.
C. Josten and G. Lordan, “Robots at work: Automatable and nonautomatable jobs in Europe,” European Economic Review, vol. 123, p. 103393, 2020.
D. Acemoglu and P. Restrepo, “Artificial intelligence, automation, and work,” National Bureau of Economic Research Working Paper, vol. No. 24196, pp. 1–50, 2018.
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B. Buchberger, Título do Livro. Nome da Editora, 2023.
“The History of AI: A Timeline of Artificial Intelligence — coursera.org,” [link], [Accessed 25-08-2024].
“AI in IT: How Artificial Intelligence Will Transform the Industry — softengi.com,” [link], [Accessed 25-08-2024].
L. GmbH, “Comprehensive Guide to AI in the IT Industry — LeanIX — leanix.net,” [link], [Accessed 25-08-2024].
E. C. Gatto, “Introdução ao machine learning: Conceitos básicos,” Feb. 2024. [Online]. Available: [link]
G. Wiederhold and J. McCarthy, “Arthur Samuel: Pioneer in machine learning,” IBM Journal of Research and Development, vol. 36, no. 3, pp. 329–331, May 1992. [Online]. Available: DOI: 10.1147/rd.363.0329
“Aprendizado supervisionado vs. não supervisionado — alteryx.com,” [link], [Accessed 25-08-2024].
“Aprendizado supervisionado versus não supervisionado – Diferença entre algoritmos de machine learning – AWS — aws.amazon.com,” [link], [Accessed 25-08-2024].
H. Shah, “Artificial Neural Network: Applications and Software in 2024 — learn.g2.com,” [link], [Accessed 26-08-2024].
OpenAI. [Online]. Available: [link]
M. Growcoot, “Internet Fooled by Viral AI Image of Man Fighting an Alligator — petapixel.com,” [link], [Accessed 26-08-2024].
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention is all you need,” in Proceedings of the 31st International Conference on Neural Information Processing Systems, ser. NIPS’17. Red Hook, NY, USA: Curran Associates Inc., 2017, pp. 6000–6010.
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, “Language models are few-shot learners,” 2020. [Online]. Available: [link]
R. M. Solow, “Technical change and the aggregate production function,” The Review of Economics and Statistics, vol. 39, pp. 312–320, 1957.
P. M. Romer, “Endogenous technological change,” Journal of Political Economy, vol. 98, pp. S71–S102, 1990.
P. Aghion and P. Howitt, “A model of growth through creative destruction,” Econometrica, vol. 60, pp. 323–351, 1992.
D. H. Autor et al., “The skill content of recent technological change: An empirical exploration,” The Quarterly Journal of Economics, vol. 118, pp. 1279–1333, 2003.
L. Barbieri et al., “The impact of technological change on employment: Evidence from a panel of European countries,” Journal of Economic Geography, vol. 20, pp. 1415–1454, 2020.
D. H. Autor and D. Dorn, “The growth of low-skill service jobs and the polarization of the US labor market,” American Economic Review, vol. 103, pp. 1553–1597, 2013.
M. Vivarelli, “The economics of technology and employment: Theory and empirical evidence,” Journal of Economic Behavior Organization, vol. 27, pp. 243–264, 1995.
——, “Technology, employment, and skills: An interpretative framework,” The Indian Journal of Labour Economics, vol. 56, pp. 127–148, 2013.
M. Piva and M. Vivarelli, “Innovation and employment: An overview,” IZA World of Labor, vol. 422, pp. 1–10, 2018.
C. Josten and G. Lordan, “Robots at work: Automatable and nonautomatable jobs in Europe,” European Economic Review, vol. 123, p. 103393, 2020.
D. Acemoglu and P. Restrepo, “Artificial intelligence, automation, and work,” National Bureau of Economic Research Working Paper, vol. No. 24196, pp. 1–50, 2018.
——, “Robots and jobs: Evidence from US labor markets,” Journal of Political Economy, vol. 128, pp. 2188–2244, 2019a.
——, “Demographics and automation,” The Review of Economic Studies, vol. 86, pp. 333–370, 2019b.
——, “The wrong kind of AI? Artificial intelligence and the future of labor demand,” Brookings Papers on Economic Activity, pp. 1–55, 2020.
B. Buchberger, Título do Livro. Nome da Editora, 2023.
Publicado
06/11/2024
Como Citar
SILVA, Ronald Augusto Domingos; PIRES, Thalisson Lopes Gonçalves; MENDES, Rodrigo Jeremias; MATOS, Mikaelly Elídia; DE OLIVEIRA, Kevenn Laranjeira; SOARES, Liziane Santos.
The Impact of Artificial Intelligence in Software Development. In: WORKSHOP DE SISTEMAS DE INFORMAÇÃO (WSIS), 15. , 2024, Rio Paranaíba/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 96-101.
DOI: https://doi.org/10.5753/wsis.2024.33680.
