A Study on the Perception and Attitude of Computational Systems Users Towards Artificial Intelligence
Abstract
This research investigates users’ perception of Artificial Intelligence (AI) systems using the ATAI scale - Attitude Towards Artificial Intelligence. Results from interviews with 76 participants, divided into four groups, highlight the significant relevance and dependence on computer systems, as well as the need for ethical and inclusive approaches in AI usage. Finally, discussions revolve around potential pathways and measures suitable for adopting effective, ethical, and responsible AI in Brazil, aiming to foster inclusion and equity rather than exacerbating inequality.
References
Academia Brasileira de Ciências (2023) Recomendações para o avanço da inteligência artificial no Brasil. Rio de Janeiro: Academia Brasileira de Ciências.
Beijing consensus on artificial intelligence and education (2019), [link]
Berlato, H. et al. (2019). Adaptabilidade de Carreira e (Re)Configuração Familiar na Relação Dual Career: Explorando o Campo. In XLI Encontro da EnANPAD, p.1-17
Bostrom, N. (2014) Superintelligence: Paths, Dangers, Strategies. Great Britain: Oxford University Press.
Cavaliere, P. & Romeo, G. (2022) From poisons to antidotes: Algorithms as democracy boosters. European Journal of Risk Regulation, 13, 3, pp. 421–442.
Cowgill, B. and Tucker, C.E. (2020) Algorithmic Fairness and Economics. Columbia Business School Research Paper. DOI: 10.2139/ssrn.3361280
Davenport, T. H. (2018) Artificial intelligence for the real world. Harvard Business Review, [link]
Field, A. (2009). Descobrindo a estatística com SPSS. 2. ed. Porto Alegre: Artmed.
Gil, A.C. (2008) Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas.
Hair, J. F. et al. (2009). Análise Multivariada de Dados. 6. Ed. Porto Alegre: Bookman.
Helbing, D. et al. (2019) Will Democracy Survive Big Data and Artificial Intelligence?, pages 73–98. Springer International Publishing, Cham.
Helbing, D. & Pournaras, E. (2015) Society: Build digital democracy. Nature, 527, 7576, pp. 33–34.
Kaplan, A. and Haenlein, M. (2019) Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 1, p.15-25, DOI: 10.1016/j.bushor.2018.08.004.
Landis, D. R. and Koch G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33, 1, p. 159-174. DOI: 10.2307/2529310
Malhotra, N.K. (2012) Pesquisa de Marketing: uma orientação aplicada. 6. ed. Porto Alegre - RS: Bookman.
Manheim, K. & Kaplan, L. (2018) Artificial intelligence: Risks to privacy and democracy. Yale Journal of Law and Technology, 21, 106.
Mantelero, A. (2022) Electronic democracy and digital justice: Driving principles for AI regulation in the prism of human rights. Direito Público, 18, 100.
Nunes, A. F., Monteiro, P. L. and Nunes, A. S. (2020). Factor structure of the convergence insufficiency symptom survey questionnaire. Plos One, 15, 2, p. 1-9.
OECD et al. (2022) Latin American Economic Outlook 2020: Digital Transformation for Building Back Better, OECD Publishing, Paris. DOI: 10.1787/e6e864fb-en.
Russell, S. and Norvig, P. (2016) Artificial Intelligence: A Modern Approach. Person.
Sindermann, C., Sha, P., ZHOU, M., Wernicke, J.S.H., Li, M., Sariyska, R., Stavrou, M., Becker, B., and Montag, C. (2021) Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language. Künstl Intell, 35, p.109–118, DOI: 10.1007/s13218-020-00689-0
Sartori, L. & Theodorou, A. (2022) A sociotechnical perspective for the future of AI: narratives, inequalities, and human control. Ethics and Information Technology, 24, 4. DOI: 10.1007/s10676-022-09624-3
Stadler, M., Sailer, M. and Fischer, F. (2021). Knowledge as a formative construct: a good alpha is not always better. New Ideas in Psychology, 60, p. 1-4.
Vasconcellos, I. R. R. et al. (2016). Adaptação transcultural para o Português brasileiro e confiabilidade da escala esforço-recompensa no trabalho doméstico. Revista de Saúde Pública, 50, 34, p1-13.
Filgueiras, F., Junquilho, T.A. (2023) The Brazilian (Non)perspective on national strategy for artificial intelligence. Discov Artif Intell, 3, 7. DOI: 10.1007/s44163-023-00052-w
Beijing consensus on artificial intelligence and education (2019), [link]
Berlato, H. et al. (2019). Adaptabilidade de Carreira e (Re)Configuração Familiar na Relação Dual Career: Explorando o Campo. In XLI Encontro da EnANPAD, p.1-17
Bostrom, N. (2014) Superintelligence: Paths, Dangers, Strategies. Great Britain: Oxford University Press.
Cavaliere, P. & Romeo, G. (2022) From poisons to antidotes: Algorithms as democracy boosters. European Journal of Risk Regulation, 13, 3, pp. 421–442.
Cowgill, B. and Tucker, C.E. (2020) Algorithmic Fairness and Economics. Columbia Business School Research Paper. DOI: 10.2139/ssrn.3361280
Davenport, T. H. (2018) Artificial intelligence for the real world. Harvard Business Review, [link]
Field, A. (2009). Descobrindo a estatística com SPSS. 2. ed. Porto Alegre: Artmed.
Gil, A.C. (2008) Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas.
Hair, J. F. et al. (2009). Análise Multivariada de Dados. 6. Ed. Porto Alegre: Bookman.
Helbing, D. et al. (2019) Will Democracy Survive Big Data and Artificial Intelligence?, pages 73–98. Springer International Publishing, Cham.
Helbing, D. & Pournaras, E. (2015) Society: Build digital democracy. Nature, 527, 7576, pp. 33–34.
Kaplan, A. and Haenlein, M. (2019) Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 1, p.15-25, DOI: 10.1016/j.bushor.2018.08.004.
Landis, D. R. and Koch G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33, 1, p. 159-174. DOI: 10.2307/2529310
Malhotra, N.K. (2012) Pesquisa de Marketing: uma orientação aplicada. 6. ed. Porto Alegre - RS: Bookman.
Manheim, K. & Kaplan, L. (2018) Artificial intelligence: Risks to privacy and democracy. Yale Journal of Law and Technology, 21, 106.
Mantelero, A. (2022) Electronic democracy and digital justice: Driving principles for AI regulation in the prism of human rights. Direito Público, 18, 100.
Nunes, A. F., Monteiro, P. L. and Nunes, A. S. (2020). Factor structure of the convergence insufficiency symptom survey questionnaire. Plos One, 15, 2, p. 1-9.
OECD et al. (2022) Latin American Economic Outlook 2020: Digital Transformation for Building Back Better, OECD Publishing, Paris. DOI: 10.1787/e6e864fb-en.
Russell, S. and Norvig, P. (2016) Artificial Intelligence: A Modern Approach. Person.
Sindermann, C., Sha, P., ZHOU, M., Wernicke, J.S.H., Li, M., Sariyska, R., Stavrou, M., Becker, B., and Montag, C. (2021) Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language. Künstl Intell, 35, p.109–118, DOI: 10.1007/s13218-020-00689-0
Sartori, L. & Theodorou, A. (2022) A sociotechnical perspective for the future of AI: narratives, inequalities, and human control. Ethics and Information Technology, 24, 4. DOI: 10.1007/s10676-022-09624-3
Stadler, M., Sailer, M. and Fischer, F. (2021). Knowledge as a formative construct: a good alpha is not always better. New Ideas in Psychology, 60, p. 1-4.
Vasconcellos, I. R. R. et al. (2016). Adaptação transcultural para o Português brasileiro e confiabilidade da escala esforço-recompensa no trabalho doméstico. Revista de Saúde Pública, 50, 34, p1-13.
Filgueiras, F., Junquilho, T.A. (2023) The Brazilian (Non)perspective on national strategy for artificial intelligence. Discov Artif Intell, 3, 7. DOI: 10.1007/s44163-023-00052-w
Published
2024-07-21
How to Cite
CARVALHO, Dárlinton Barbosa Feres; FERRO, Mariza; CORRÊA, Fábio; FARIA, Vinícius Figueiredo de; LIMA, Leandro Cearenço; SOUZA, Amanda Damasceno de; GROMATO, Marco de Moura.
A Study on the Perception and Attitude of Computational Systems Users Towards Artificial Intelligence. In: WORKSHOP ON THE IMPLICATIONS OF COMPUTING IN SOCIETY (WICS), 5. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 13-23.
ISSN 2763-8707.
DOI: https://doi.org/10.5753/wics.2024.1919.
