Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

19 September 2018

Papers citing "Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure"

20 / 20 papers shown

Title
Phi-4-reasoning Technical Report Marah Abdin Sahaj Agarwal Ahmed Hassan Awadallah Vidhisha Balachandran Harkirat Singh Behl ... Vaishnavi Shrivastava Vibhav Vineet Yue Wu Safoora Yousefi Guoqing Zheng ReLM LRM 90 1 0 30 Apr 2025
Predictable Artificial Intelligence Lexin Zhou Pablo Antonio Moreno Casares Fernando Martínez-Plumed John Burden Ryan Burnell ... Seán Ó hÉigeartaigh Danaja Rutar Wout Schellaert Konstantinos Voudouris José Hernández-Orallo 51 2 0 08 Jan 2025
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 54 0 0 15 Jun 2024
A Multimodal Automated Interpretability Agent Tamar Rott Shaham Sarah Schwettmann Franklin Wang Achyuta Rajaram Evan Hernandez Jacob Andreas Antonio Torralba 37 18 0 22 Apr 2024
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 39 36 0 08 Apr 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks Steven Moore Q. V. Liao Hariharan Subramonyam 19 27 0 22 Feb 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 35 34 0 06 Jan 2023
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice Wesley Hanwen Deng B. Guo Alicia DeVrio Hong Shen Motahhare Eslami Kenneth Holstein MLAU 19 58 0 07 Oct 2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO Sanghyuk Chun Wonjae Kim Song Park Minsuk Chang Seong Joon Oh VLM 370 43 0 07 Apr 2022
A Mental-Model Centric Landscape of Human-AI Symbiosis Z. Zahedi S. Sreedharan Subbarao Kambhampati 19 4 0 18 Feb 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 23 37 0 06 Feb 2022
Revisiting Citizen Science Through the Lens of Hybrid Intelligence J. Rafner M. Gajdacz Gitte Kragh A. Hjorth A. Gander ... J. Miller Dominik Dellerman M. Haklay Pietro Michelucci J. Sherson 16 13 0 30 Apr 2021
Understanding and Avoiding AI Failures: A Practical Guide R. M. Williams Roman V. Yampolskiy 30 23 0 22 Apr 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 26 74 0 10 Mar 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 33 120 0 14 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 28 83 0 03 Dec 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 24 44 0 11 Aug 2020
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter F. Schulam S. Saria OOD 24 103 0 02 Jan 2019