Candidate Solutions for Defining Explainability Requirements of AI Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57327-9_8
Reference32 articles.
1. Köhl, M.A., et al.: Explainability as a non-functional requirement. In: International Requirements Engineering Conference, pp. 363–368 (2019)
2. Nguyen, M.-L., Phung, T., Ly, D.-H., Truong, H.-L.: Holistic explainability requirements for end-to-end machine learning in IoT cloud systems. In: International Requirements Engineering Conference Workshops (REW), pp. 188–194 (2021)
3. Ramos, H., Fonseca, M., Ponciano, L.: Modeling and evaluating personas with software explainability requirements. In: Ruiz, P.H., Agredo-Delgado, V., Kawamoto, A.L.S. (eds.) Human-Computer Interaction: 7th Iberoamerican Workshop, HCI-COLLAB 2021, Sao Paulo, Brazil, September 8–10, 2021, Proceedings, pp. 136–149. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-92325-9_11
4. Kauppinen, M., Vartiainen, M., Kontio, J., Kujala, S., Sulonen, R.: Implementing requirements engineering processes throughout organizations: success factors and challenges. Inf. Softw. Technol. 46(14), 937–953 (2004)
5. Jovanovic, M., Schmitz, M.: Explainability as a user requirement for artificial intelligence systems. Computer 55(2), 90–94 (2022)
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