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Should We Trust (X)AI? Design Dimensions for Structured Experimental
  Evaluations

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations

14 September 2020
F. Sperrle
Mennatallah El-Assady
G. Guo
Duen Horng Chau
Alex Endert
Daniel A. Keim
ArXivPDFHTML

Papers citing "Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations"

6 / 6 papers shown
Title
Unpacking Human-AI interactions: From interaction primitives to a design
  space
Unpacking Human-AI interactions: From interaction primitives to a design space
Konstantinos Tsiakas
Dave Murray-Rust
37
3
0
10 Jan 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML
  Research
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam
Jessica Hullman
VLM
HAI
32
8
0
10 Aug 2023
Towards a Science of Human-AI Decision Making: A Survey of Empirical
  Studies
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
33
186
0
21 Dec 2021
Explanation as a process: user-centric construction of multi-level and
  multi-modal explanations
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
Bettina Finzel
David E. Tafler
Stephan Scheele
Ute Schmid
33
10
0
07 Oct 2021
Analyzing the Noise Robustness of Deep Neural Networks
Analyzing the Noise Robustness of Deep Neural Networks
Kelei Cao
Mengchen Liu
Hang Su
Jing Wu
Jun Zhu
Shixia Liu
AAML
65
89
0
26 Jan 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,698
0
28 Feb 2017
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