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ExSS: explainable smart systems 2019

Published: 16 March 2019 Publication History

Abstract

Smart systems that apply complex reasoning to make decisions and plan behavior are often difficult for users to understand. While research to make systems more explainable and therefore more intelligible and transparent is gaining pace, there are numerous issues and problems regarding these systems that demand further attention. The ExSS 2019 workshop is a follow-on from the very successful ExSS 2018 workshop previously held at IUI, to bring academia and industry together to address these issues. This workshop includes a keynote, paper panels, poster session, and group activities, with the goal of developing concrete approaches to handling challenges related to the design and development of explainable smart systems.

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Cited By

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  • (2021)Forward Reasoning Decision Support: Toward a More Complete View of the Human-AI Interaction Design SpaceProceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter10.1145/3464385.3464696(1-5)Online publication date: 11-Jul-2021
  • (2021)From ”Explainable AI” to ”Graspable AI”Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3430524.3442704(1-4)Online publication date: 14-Feb-2021
  • (2019)Machine Learning Interpretability: A Survey on Methods and MetricsElectronics10.3390/electronics80808328:8(832)Online publication date: 26-Jul-2019
  • Show More Cited By

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Published In

cover image ACM Conferences
IUI '19 Companion: Companion Proceedings of the 24th International Conference on Intelligent User Interfaces
March 2019
173 pages
ISBN:9781450366731
DOI:10.1145/3308557
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 March 2019

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Author Tags

  1. explanations
  2. intelligent systems
  3. intelligibility
  4. machine learning
  5. transparency
  6. visualizations

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IUI '19
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Cited By

View all
  • (2021)Forward Reasoning Decision Support: Toward a More Complete View of the Human-AI Interaction Design SpaceProceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter10.1145/3464385.3464696(1-5)Online publication date: 11-Jul-2021
  • (2021)From ”Explainable AI” to ”Graspable AI”Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3430524.3442704(1-4)Online publication date: 14-Feb-2021
  • (2019)Machine Learning Interpretability: A Survey on Methods and MetricsElectronics10.3390/electronics80808328:8(832)Online publication date: 26-Jul-2019
  • (2018)Explainable Distributed Case-Based Support Systems: Patterns for Enhancement and Validation of Design RecommendationsCase-Based Reasoning Research and Development10.1007/978-3-030-01081-2_6(78-94)Online publication date: 9-Oct-2018

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