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ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract).

, , , , , , , , and . ExSS-ATEC@IUI, volume 2582 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Improving Intelligent Assistants for Desktop Activities., , and . Interaction Challenges for Intelligent Assistants, volume SS-07-04 of AAAI Technical Report, page 119-121. AAAI Press, (2007)Explainable AI: The New 42?, , , , , , , and . Machine Learning and Knowledge Extraction, page 295--303. Cham, Springer International Publishing, (2018)Analysis and representation of rhetorical construction of understanding in design teams' experiential learning.. University College London, UK, (2001)British Library, EThOS.From GenderMag to InclusiveMag: An Inclusive Design Meta-Method., , , , , and . VL/HCC, page 97-106. IEEE Computer Society, (2019)End-User Feature Labeling via Locally Weighted Logistic Regression., , , , , , and . AAAI, page 1575-1578. AAAI Press, (2011)Workshop on Trust and Reliance in AI-Human Teams (TRAIT)., , , , , , and . CHI Extended Abstracts, page 116:1-116:6. ACM, (2022)EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations., , , , and . CHI, page 314:1-314:27. ACM, (2024)An Explanatory Model Steering System for Collaboration between Domain Experts and AI, , and . Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 75–79. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)An Investigation into Sharing Metadata: "I'm not thinking what you are thinking"., and . J. Univers. Comput. Sci., 10 (6): 740-748 (2004)Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform., , , , and . CoRR, (2023)