Ethical Principles Application in the Development of AI Systems: a Systematic Mapping Study
Resumo
The widespread adoption of Artificial Intelligence (AI) in high-stakes domains demands the effective operationalization of ethical principles. This study identifies and classifies solutions that support the integration of ethics across the AI system lifecycle. A Systematic Mapping Study was conducted, analyzing 102 studies (2019–2024) and categorizing artifacts by ethical principles, approach types, and development stages. The results show a predominance of conceptual and procedural artifacts in early lifecycle phases, limited support for later stages, an emphasis on Justice and Explicability, and comparatively low attention to Autonomy, revealing persistent gaps between principles and practice.Referências
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Ortega-Bolaños, R., Bernal-Salcedo, J., Germán Ortiz, M., Galeano Sarmiento, J., Ruz, G. A., e Tabares-Soto, R. (2024). Applying the ethics of ai: a systematic review of tools for developing and assessing ai-based systems. Artificial Intelligence Review, 57(5):110.
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023). Six human-centered artificial intelligence grand challenges. International Journal of Human–Computer Interaction, 39(3):391–437.
Pereira, R., Darin, T., e Silveira, M. S. (2024). GranDIHC-BR: Grand Research Challenges in Human-Computer Interaction in Brazil for 2025-2035. In Proceedings of the IHC 2024, New York, NY, USA. Association for Computing Machinery.
Petersen, K., Vakkalanka, S., e Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64:1–18.
Prem, E. (2023). From ethical ai frameworks to tools: a review of approaches. AI and Ethics, 3(3):699–716.
Rodrigues, K. R. d. H., Carvalho, L. P., Pimentel, M. d. G. C., e Freire, A. P. (2024). GranDIHC-BR 2025-2035 - GC2: Ethics and Responsibility: Principles, Regulations, and Societal Implications of Human Participation in HCI Research. In Proceedings of the IHC 2024, New York, NY, USA. ACM.
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Batool, A., Zowghi, D., e Bano, M. (2025). Ai governance: a systematic literature review. AI and Ethics, pages 1–15.
Capel, T. e Brereton, M. (2023). What is human-centered about human-centered ai? a map of the research landscape. In Proceedings of the CHI 2023, pages 1–23.
Chancellor, S. (2023). Toward practices for human-centered machine learning. Communications of the ACM, 66(3):78–85.
de Paula Porto, D., Prado, R. D. C. V., dos Santos Marques, G., Serrano, A. L. M., de Mendonça, F. L., e Canedo, E. D. (2025). Ethical requirements in the age of artificial intelligence: A systematic literature review. (SBSI 2025), pages 663–672.
Duarte, E. F., T. Palomino, P., Pontual Falcão, T., Lis Porto, G., e Portela, Carlos e Francisco Ribeiro, D. e. N. A. e. A. Y. e. S. M. e. G. A. e. M. T. A. (2024). GranDIHC-BR 2025-2035 - GC6: Implications of Artificial Intelligence in HCI: A Discussion on Paradigms, Ethics, and Diversity, Equity and Inclusion. In Proceedings of the IHC 2024, New York, NY, USA. Association for Computing Machinery.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018). Ai4people—an ethical framework for a good ai society: opportunities, risks, principles, and recommendations. Minds and machines, 28:689–707.
Jobin, A., Ienca, M., e Vayena, E. (2019). The global landscape of ai ethics guidelines. Nature machine intelligence, 1(9):389–399.
Khan, A. A., Akbar, M. A., Fahmideh, M., Liang, P., Waseem, M., Ahmad, A., Niazi, M., e Abrahamsson, P. (2023). Ai ethics: an empirical study on the views of practitioners and lawmakers. IEEE Transactions on Computational Social Systems, 10(6):2971–2984.
Kitchenham, B. e Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
Morley, J., Floridi, L., Kinsey, L., e Elhalal, A. (2020). From what to how: an initial review of publicly available ai ethics tools, methods and research to translate principles into practices. Science and engineering ethics, 26(4):2141–2168.
Ortega-Bolaños, R., Bernal-Salcedo, J., Germán Ortiz, M., Galeano Sarmiento, J., Ruz, G. A., e Tabares-Soto, R. (2024). Applying the ethics of ai: a systematic review of tools for developing and assessing ai-based systems. Artificial Intelligence Review, 57(5):110.
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023). Six human-centered artificial intelligence grand challenges. International Journal of Human–Computer Interaction, 39(3):391–437.
Pereira, R., Darin, T., e Silveira, M. S. (2024). GranDIHC-BR: Grand Research Challenges in Human-Computer Interaction in Brazil for 2025-2035. In Proceedings of the IHC 2024, New York, NY, USA. Association for Computing Machinery.
Petersen, K., Vakkalanka, S., e Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Information and Software Technology, 64:1–18.
Prem, E. (2023). From ethical ai frameworks to tools: a review of approaches. AI and Ethics, 3(3):699–716.
Rodrigues, K. R. d. H., Carvalho, L. P., Pimentel, M. d. G. C., e Freire, A. P. (2024). GranDIHC-BR 2025-2035 - GC2: Ethics and Responsibility: Principles, Regulations, and Societal Implications of Human Participation in HCI Research. In Proceedings of the IHC 2024, New York, NY, USA. ACM.
Shneiderman, B. (2020). Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered ai systems. ACM Transactions on Interactive Intelligent Systems (TiiS), 10(4):1–31.
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
UNESCO, C. (2021). Recommendation on the ethics of artificial intelligence.
Wohlin, C., Runeson, P., Host, M., Ohlsson, M. C., Regnell, B. j., e Wessln, A. (2012). Experimentation in software engineering. Springer Publishing Company, Incorporated.
Xu, W. (2019). Toward human-centered ai: a perspective from human-computer interaction. Interactions, 26(4):42–46.
Publicado
06/05/2026
Como Citar
MARTINS, Helena Cristo; LANA, Cristiane Aparecida; VILLELA, Maria Lúcia Bento.
Ethical Principles Application in the Development of AI Systems: a Systematic Mapping Study. In: CONFERÊNCIA LATINO-AMERICANA DE INTERAÇÃO HUMANO-COMPUTADOR (CLIHC), 12. , 2026, Aracaju/SE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 106-120.
DOI: https://doi.org/10.5753/clihc.2026.20902.
