Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems

14 October 2022

Papers citing "Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems"

7 / 7 papers shown

Title
Statistical Perspectives on Reliability of Artificial Intelligence Systems Yili Hong J. Lian Li Xu Jie Min Yueyao Wang Laura J. Freeman Xinwei Deng 66 32 0 09 Nov 2021
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 53 70 0 03 Aug 2020
Verifying Individual Fairness in Machine Learning Models Philips George John Deepak Vijaykeerthy Diptikalyan Saha FaML 46 58 0 21 Jun 2020
Unpredictability of AI Roman V. Yampolskiy 54 30 0 29 May 2019
Robustness of Neural Networks: A Probabilistic and Practical Approach Ravi Mangal A. Nori A. Orso AAML OOD 51 76 0 15 Feb 2019
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective Yuji Roh A. Mishra Steven Euijong Whang 74 680 0 08 Nov 2018
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 112 1,590 0 27 Jun 2012