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On Human Intellect and Machine Failures: Troubleshooting Integrative
  Machine Learning Systems

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

24 November 2016
Besmira Nushi
Ece Kamar
Eric Horvitz
Donald Kossmann
ArXivPDFHTML

Papers citing "On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems"

5 / 5 papers shown
Title
A Mental-Model Centric Landscape of Human-AI Symbiosis
A Mental-Model Centric Landscape of Human-AI Symbiosis
Z. Zahedi
S. Sreedharan
Subbarao Kambhampati
19
4
0
18 Feb 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication,
  Documentation, Engineering, and Process
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar
Shurui Zhou
Grace A. Lewis
Christian Kastner
VLM
37
126
0
19 Oct 2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining
  Large Language Model Prompts
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu
Michael Terry
Carrie J. Cai
LLMAG
AI4CE
LRM
26
444
0
04 Oct 2021
The future of human-AI collaboration: a taxonomy of design knowledge for
  hybrid intelligence systems
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann
A. Calma
Nikolaus Lipusch
Thorsten Weber
Sascha Weigel
P. Ebel
HAI
17
176
0
07 May 2021
An Empirical Analysis of Backward Compatibility in Machine Learning
  Systems
An Empirical Analysis of Backward Compatibility in Machine Learning Systems
Megha Srivastava
Besmira Nushi
Ece Kamar
S. Shah
Eric Horvitz
AAML
11
44
0
11 Aug 2020
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