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

24 November 2016

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

7 / 7 papers shown

Title
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems Junming Cao Bihuan Chen Longjie Hu Jie Ying Gao Kaifeng Huang Xin Peng 21 3 0 10 Jan 2023
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 Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 42 126 0 19 Oct 2021
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts Tongshuang Wu Michael Terry Carrie J. Cai LLMAG AI4CE LRM 31 446 0 04 Oct 2021
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 30 178 0 07 May 2021
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 19 44 0 11 Aug 2020
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 19 739 0 19 Jun 2019