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XDesign: Integrating Interface Design into Explainable AI Education

Published: 03 March 2022 Publication History

Abstract

We introduce XDesign, a web-based interactive platform that guides learners through a multi-stage design process for creating user-centered explanations of AI models. Results from a course deployment show that students were able to identify concrete user needs in interacting with explanations, highlight user tasks to support the needs, and design a user interface that aids the tasks.

References

[1]
Q Vera Liao, Milena Pribi?, Jaesik Han, Sarah Miller, and Daby Sow. 2021. Question- Driven Design Process for Explainable AI User Experiences. arXiv preprint arXiv:2104.03483 (2021).
[2]
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016. "Why Should I Trust You?": Explaining the Predictions of Any Classifier. arXiv:1602.04938 [cs.LG]

Cited By

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  • (2024)Introduction to Generative AI in Web EngineeringGenerative AI for Web Engineering Models10.4018/979-8-3693-3703-5.ch015(297-330)Online publication date: 27-Sep-2024

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Published In

cover image ACM Conferences
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2
March 2022
254 pages
ISBN:9781450390712
DOI:10.1145/3478432
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 March 2022

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Author Tags

  1. design process
  2. explainable ai
  3. ui prototyping
  4. usable explanation

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Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Cited By

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  • (2024)Introduction to Generative AI in Web EngineeringGenerative AI for Web Engineering Models10.4018/979-8-3693-3703-5.ch015(297-330)Online publication date: 27-Sep-2024

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