Zobrazeno 1 - 10
of 316
pro vyhledávání: '"Hoffman, Robert R."'
Autor:
Mueller, Shane T., Veinott, Elizabeth S., Hoffman, Robert R., Klein, Gary, Alam, Lamia, Mamun, Tauseef, Clancey, William J.
Explainable Artificial Intelligence (XAI) has re-emerged in response to the development of modern AI and ML systems. These systems are complex and sometimes biased, but they nevertheless make decisions that impact our lives. XAI systems are frequentl
Externí odkaz:
http://arxiv.org/abs/2102.04972
Current discussions of "Explainable AI" (XAI) do not much consider the role of abduction in explanatory reasoning (see Mueller, et al., 2018). It might be worthwhile to pursue this, to develop intelligent systems that allow for the observation and an
Externí odkaz:
http://arxiv.org/abs/2009.14795
This is an integrative review that address the question, "What makes for a good explanation?" with reference to AI systems. Pertinent literatures are vast. Thus, this review is necessarily selective. That said, most of the key concepts and issues are
Externí odkaz:
http://arxiv.org/abs/1902.01876
The question addressed in this paper is: If we present to a user an AI system that explains how it works, how do we know whether the explanation works and the user has achieved a pragmatic understanding of the AI? In other words, how do we know that
Externí odkaz:
http://arxiv.org/abs/1812.04608
Publikováno v:
The Cyber Defense Review, 2019 Apr 01. 4(1), 125-136.
Externí odkaz:
https://www.jstor.org/stable/26623071
Autor:
Hoffman, Robert R.
Publikováno v:
The Cyber Defense Review, 2019 Apr 01. 4(1), 75-84.
Externí odkaz:
https://www.jstor.org/stable/26623068
Autor:
Hoffman, Robert R. (AUTHOR) rhoffman@ihmc.us, Sarter, Nadine (AUTHOR), Johnson, Matthew (AUTHOR), Hawley, John K. (AUTHOR)
Publikováno v:
Bulletin of the Atomic Scientists. Jul2018, Vol. 74 Issue 4, p255-261. 7p.
Publikováno v:
KI: Künstliche Intelligenz; Dec2023, Vol. 37 Issue 2-4, p237-247, 11p
Akademický článek
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