Um Processo para Elicitar Requisitos Confiáveis em Sistemas de Aprendizado de Máquina
DOI:
https://doi.org/10.5753/isys.2025.3878Keywords:
Inteligência artificial, Aprendizado de máquina, Inteligência artificial confiável, Processo de elicitação de requisitos, BrainwritingAbstract
Este trabalho propõe um processo para Elicitação de Requisitos (ER) para Inteligência Artificial (IA) Confiável, focado em sistemas de Aprendizado de Máquina (AM). O processo promove a participação dos diversos stakeholders envolvidos no desenvolvimento desses sistemas. Ele foi desenvolvido com base na técnica de Brainwriting e insights obtidos a partir de um estudo que investigou essa técnica na elicitação de requisitos para IA Confiável. O estudo envolveu seis participantes mulheres, discutindo IA confiável com base no caso de viés de gênero do algoritmo da Amazon, resultando na criação de requisitos para IA confiável. Esta pesquisa contribui para preencher lacunas na ER para IA confiável e promover reflexões sobre os desafios e aspectos desse tema.Downloads
Referências
Ahmad, K., Bano, M., Abdelrazek, M., Arora, C., and Grundy, J. (2021). What’s up with requirements engineering for artificial intelligence systems? In 2021 IEEE 29th International Requirements Engineering Conference (RE), pages 1–12.
Bellaby, R. W. (2021). Can ai weapons make ethical decisions? Criminal Justice Ethics, 40(2):86–107.
Boy, G. (1996). The group elicitation method: An introduction. In Advances in Knowledge Acquisition: 9th European Knowledge Acquisition Workshop, EKAW’96 Nottingham, United Kingdom, May 14–17, 1996 Proceedings 9, pages 290–305. Springer.
Calazans, A. T. S., Paldês, R. Á., Masson, E. T. S., and Guimarães, F. d. A. (2018). As técnicas de elicitação e de documentação de requisitos nos métodos ágeis. In CIbSE, pages 487–500.
Carvalho, N. d. O., Libório Sampaio, A., and de Vasconcelos, D. R. (2022). Morexai - a model to reason about the explanation design in ai systems. In Degen, H. and Ntoa, S., editors, Artificial Intelligence in HCI, pages 130–148, Cham. Springer International Publishing.
Cerqueira, J. A. S., De Azevedo, A. P., Leão, H. A. T., and Canedo, E. D. (2022). Guide for artificial intelligence ethical requirements elicitation-re4ai ethical guide. In HICSS, pages 1–1.
Dastin, J. (2018). Amazon scraps secret ai recruiting tool that showed bias against women. In Ethics of Data and Analytics, pages 296–299. Auerbach Publications.
Gruber, K., Huemer, J., Zimmermann, A., and Maschotta, R. (2017). Integrated description of functional and non-functional requirements for automotive systems design using sysml. In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET), pages 27–31.
Heslin, P. A. (2009). Better than brainstorming? potential contextual boundary conditions to brainwriting for idea generation in organizations. Journal of Occupational and Organizational Psychology, 82(1):129–145.
Horkoff, J. (2019). Non-functional requirements for machine learning: Challenges and new directions. In 2019 IEEE 27th International Requirements Engineering Conference (RE), pages 386–391.
Ishikawa, F. and Matsuno, Y. (2020). Evidence-driven requirements engineering for uncertainty of machine learning-based systems. In 2020 IEEE 28th International Requirements Engineering Conference (RE), pages 346–351. IEEE.
Kaur, D., Uslu, S., Rittichier, K. J., and Durresi, A. (2022). Trustworthy artificial intelligence: A review. ACM Comput. Surv., 55(2).
Lazar, J., Feng, J. H., and Hochheiser, H. (2017). Research methods in human-computer interaction. Morgan Kaufmann.
Li, B., Qi, P., Liu, B., Di, S., Liu, J., Pei, J., Yi, J., and Zhou, B. (2023). Trustworthy ai: From principles to practices. ACM Comput. Surv., 55(9).
Michinov, N. (2012). Is electronic brainstorming or brainwriting the best way to improve creative performance in groups? an overlooked comparison of two idea-generation techniques. Journal of Applied Social Psychology, 42:E222–E243.]
Pazmino, A. V. (2015). Como se cria: 40 métodos para design de produtos. Editora Blucher.
Pei, Z., Liu, L., Wang, C., and Wang, J. (2022). Requirements engineering for machine learning: A review and reflection. In 2022 IEEE 30th International Requirements Engineering Conference Workshops (REW), pages 166–175.
Silva, F. L. Q. d., Sampaio, A. L., Bezerra, C. I. M., and Monteiro, I. T. (2023). Brainwriting na elicitação de requisitos para ia confiável. In Anais do VIII Workshop sobre Aspectos Sociais, Humanos e Econômicos de Software, pages 111–120. SBC.
Thiebes, S., Lins, S., and Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31:447–464.
VanGundy, A. B. (1984). Brainwriting for new product ideas: an alternative to brainstorming. Journal of Consumer Marketing.
Villamizar, H., Escovedo, T., and Kalinowski, M. (2021). Requirements engineering for machine learning: A systematic mapping study. In 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pages 29–36.
Yoshioka, N., Husen, J. H., Tun, H. T., Chen, Z., Washizaki, H., and Fukazawa, Y. (2021). Landscape of requirements engineering for machine learning-based ai systems. In 2021 28th Asia-Pacific Software Engineering Conference Workshops (APSEC Workshops), pages 5–8.
