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Structural causal models as boundary objects in AI system development.

, and . CAIN, page 43-45. ACM, (2022)

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The Secret to Better AI and Better Software (Is Requirements Engineering)., , , , and . IEEE Softw., 39 (1): 105-110 (2022)A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems., , and . CoRR, (2022)Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges., , , , , , and . CAIN, page 13-24. IEEE, (2023)VEDLIoT: Very Efficient Deep Learning in IoT., , , , , , , , , and 26 other author(s). DATE, page 963-968. IEEE, (2022)An empirical investigation of challenges of specifying training data and runtime monitors for critical software with machine learning and their relation to architectural decisions., , , and . Requir. Eng., 29 (1): 97-117 (March 2024)An Investigation of Challenges Encountered When Specifying Training Data and Runtime Monitors for Safety Critical ML Applications., , , and . REFSQ, volume 13975 of Lecture Notes in Computer Science, page 206-222. Springer, (2023)Setting AI in Context: A Case Study on Defining the Context and Operational Design Domain for Automated Driving., , , , and . REFSQ, volume 13216 of Lecture Notes in Computer Science, page 199-215. Springer, (2022)AIRE 2022: 9th International Workshop on Artificial Intelligence and Requirements Engineering., , and . RE Workshops, page 139-140. IEEE, (2022)Structural causal models as boundary objects in AI system development., and . CAIN, page 43-45. ACM, (2022)VEDLIoT: Next generation accelerated AIoT systems and applications., , , , , , , , , and 22 other author(s). CF, page 291-296. ACM, (2023)