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 / 79 papers shown

Title
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning Jakub Kacper Szelag Ji-Jian Chin Lauren Ansell Sook-Chin Yip 29 0 0 03 Apr 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs Melkamu Mersha Mesay Gemeda Yigezu Hassan Shakil Ali Al shami SangHyun Byun Jugal Kalita 56 0 0 06 Mar 2025
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice José Antonio Siqueira de Cerqueira Kai-Kristian Kemell Muhammad Waseem Rebekah A. Rousi Nannan Xi Juho Hamari 96 3 0 27 Feb 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 48 0 0 18 Feb 2025
Coherent Local Explanations for Mathematical Optimization Daan Otto Jannis Kurtz S. Ilker Birbil 56 0 0 07 Feb 2025
Deontic Temporal Logic for Formal Verification of AI Ethics Priya T.V. Shrisha Rao 34 0 0 10 Jan 2025
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 31 0 0 14 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 43 0 0 04 Aug 2024
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An Hendrik Baier Abhishek Dubey Ayan Mukhopadhyay Meiyi Ma LRM 24 3 0 15 Jul 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 32 52 0 14 Feb 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 17 76 0 25 Jan 2024
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 24 0 0 20 Nov 2023
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability Md. Tanzib Hosain Md. Mehedi Hasan Anik Sadman Rafi̇ Rana Tabassum Khaleque Insi̇a Md. Mehrab Siddiky 15 6 0 13 Oct 2023
IDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements V. Saxena Benjamin Bashpole Gijs Van Dijck Gerasimos Spanakis 40 2 0 09 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 32 1 0 26 Sep 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 29 1 0 18 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Wataru Kawabe Yuri Nakao Akihisa Shitara Yusuke Sugano 26 1 0 10 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 11 37 0 20 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 13 22 0 18 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 13 56 0 10 Apr 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 22 0 0 23 Mar 2023
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences A. Suresh Angelique Taylor L. Riek Sonia Martínez 21 7 0 15 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 21 1 0 06 Mar 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 13 4 0 17 Feb 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 27 3 0 22 Jan 2023
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 30 47 0 19 Dec 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 27 14 0 08 Nov 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information I. Nejadgholi Esma Balkir Kathleen C. Fraser S. Kiritchenko 32 3 0 19 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 25 82 0 13 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 36 45 0 23 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 21 91 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 23 5 0 05 Sep 2022
An Artificial Intelligence Outlook for Colorectal Cancer Screening P. Katrakazas Aristotelis Ballas M. Anisetti I. Spais 16 0 0 05 Sep 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 26 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 33 10 0 18 Aug 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 52 0 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 24 39 0 26 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 11 84 0 20 Jun 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 20 15 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 12 51 0 07 Jun 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 42 18 0 31 May 2022
A Design Space for Explainable Ranking and Ranking Models I. A. Hazwani J. Schmid M. Sachdeva J. Bernard XAI 23 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 19 55 0 10 May 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 13 6 0 21 Apr 2022
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME Niloofar Ranjbar Reza Safabakhsh FAtt 10 5 0 07 Apr 2022