Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

16 June 2020

Papers citing "Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey"

50 / 225 papers shown

Title
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 15 27 0 07 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 31 1 0 06 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Zhijie Wang Yuheng Huang D. Song Lei Ma Tianyi Zhang HAI 53 5 0 02 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data Andrea Trevino Gavito Diego Klabjan J. Utke LMTD 23 3 0 28 Feb 2023
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques S. Dhesi Laura Fontes P. Machado I. Ihianle Farhad Fassihi Tash D. Adama AAML 30 4 0 22 Feb 2023
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI Xin Zhang Liangxiu Han Lianghao Han Haoming Chen Darren Dancey Daoqiang Zhang MedIm 18 4 0 17 Feb 2023
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches Jose González-Abad Jorge Baño-Medina José Manuel Gutiérrez Llorente 25 14 0 03 Feb 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 35 3 0 22 Jan 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 29 68 0 25 Dec 2022
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search Taisuke Kobayashi 17 1 0 21 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 38 47 0 19 Dec 2022
Activity-Based Recommendations for Demand Response in Smart Sustainable Buildings Alona Zharova Laura Löschmann 11 0 0 10 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images S. M. Marvasti-Zadeh D. Goodsman Nilanjan Ray Nadir Erbilgin FAtt 16 5 0 23 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 35 14 0 08 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Viet Quoc Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 34 50 0 02 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 39 92 0 20 Oct 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information I. Nejadgholi Esma Balkir Kathleen C. Fraser S. Kiritchenko 40 3 0 19 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 20 3 0 15 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 38 108 0 02 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 45 46 0 23 Sep 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 59 46 0 22 Sep 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 0 21 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 90 0 14 Sep 2022
Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures Igor Cherepanov Alex Ulmer Jonathan Geraldi Joewono Jörn Kohlhammer FAtt 28 5 0 05 Sep 2022
An Artificial Intelligence Outlook for Colorectal Cancer Screening P. Katrakazas Aristotelis Ballas M. Anisetti I. Spais 23 0 0 05 Sep 2022
Automatic Infectious Disease Classification Analysis with Concept Discovery Elena Sizikova Joshua Vendrow Xu Cao Rachel Grotheer Jamie Haddock ... Huy V. Vo Chuntian Wang Megan Coffee Kathryn Leonard Deanna Needell 30 4 0 28 Aug 2022
LUCID: Exposing Algorithmic Bias through Inverse Design Carmen Mazijn Carina E. A. Prunkl Andres Algaba J. Danckaert Vincent Ginis SyDa 40 4 0 26 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 36 12 0 19 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse Thomas Rood Mateusz Malinowski Yoram Bachrach Tal Kachman 35 10 0 18 Aug 2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making Johannes Jakubik Jakob Schöffer Vincent Hoge Michael Vossing Niklas Kühl 19 11 0 08 Aug 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 58 0 0 27 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 23 124 0 27 Jul 2022
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence Shagufta Henna Juan Miguel Lopez Alcaraz FAtt XAI 19 2 0 26 Jul 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 34 39 0 26 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications Tom Hickling Abdelhafid Zenati Nabil Aouf P. Spencer XAI AI4TS 43 22 0 05 Jul 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability L. Herm Kai Heinrich Jonas Wanner Christian Janiesch 19 84 0 20 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 22 16 0 16 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 21 36 0 08 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 26 51 0 07 Jun 2022
Future Artificial Intelligence tools and perspectives in medicine A. Chaddad Y. Katib Lama Hassan 21 8 0 04 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 47 18 0 31 May 2022
A Design Space for Explainable Ranking and Ranking Models I. A. Hazwani J. Schmid M. Sachdeva J. Bernard XAI 31 3 0 27 May 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making Max Schemmer Patrick Hemmer Maximilian Nitsche Niklas Kühl Michael Vossing 26 56 0 10 May 2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 30 6 0 27 Apr 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 18 6 0 21 Apr 2022