What Do People Really Want When They Say They Want "Explainable AI?" We Asked 60 Stakeholders.-Reference-Cited by-同舟云学术

What Do People Really Want When They Say They Want "Explainable AI?" We Asked 60 Stakeholders.

Published:2020-04-23 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Brennen Andrea¹

Affiliation:

1. In-Q-Tel Labs, Waltham, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3334480.3383047

Reference19 articles.

1. (Testing with Concept Activation Vectors) Kim B. Wattenberg M. Gilmer J. Cai C. Wexler J. Viegas F. & Sayres R. (2017). Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav). arXiv preprint arXiv:1711.11279. (Testing with Concept Activation Vectors) Kim B. Wattenberg M. Gilmer J. Cai C. Wexler J. Viegas F. & Sayres R. (2017). Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav). arXiv preprint arXiv:1711.11279.

2. Gunning D. (2016). Explainable Artificial Intelligence (XAI). Defense Advanced Research Projects Agency. Retrieved from https://www.darpa.mil/program/explainableartificial-intelligence. And Gunning D. (2017). Explainable Artificial Intelligence (XAI). Program update. Defense Advanced Research Projects Agency. Retrieved from https://www.darpa.mil/attachments/XAIProgramUpdate.pdf Gunning D. (2016). Explainable Artificial Intelligence (XAI). Defense Advanced Research Projects Agency. Retrieved from https://www.darpa.mil/program/explainableartificial-intelligence. And Gunning D. (2017). Explainable Artificial Intelligence (XAI). Program update. Defense Advanced Research Projects Agency. Retrieved from https://www.darpa.mil/attachments/XAIProgramUpdate.pdf

3. https://www.fiddler.ai/ https://www.fiddler.ai/

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