Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

19 December 2019

Papers citing "Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations"

37 / 37 papers shown

Title
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Matteo Ceschin Leonardo Arrighi Luca Longo Sylvio Barbon Junior 31 0 0 06 May 2025
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Daniel Hendriks Philipp Spitzer Niklas Kühl G. Satzger 27 2 0 22 Apr 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 51 6 0 29 Jan 2025
XEQ Scale for Evaluating XAI Experience Quality A. Wijekoon Nirmalie Wiratunga D. Corsar Kyle Martin Ikechukwu Nkisi-Orji Belén Díaz-Agudo Derek Bridge 55 2 0 20 Jan 2025
Explainable AI: Definition and attributes of a good explanation for health AI E. Kyrimi S. McLachlan Jared M Wohlgemut Zane B Perkins David A. Lagnado W. Marsh the ExAIDSS Expert Group XAI 36 1 0 09 Sep 2024
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis Eduard Barbu Marharytha Domnich Raul Vicente Nikos Sakkas André Morim 57 1 0 20 May 2024
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion models Matteo Ferrante T. Boccato S. Bargione N. Toschi DiffM 35 7 0 08 Sep 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 34 12 0 26 Jul 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition Xiao-lan Wu P. Bell A. Rajan 29 5 0 29 May 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 52 77 0 24 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 34 68 0 25 Dec 2022
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants Isil Guzey Ozlem Ucar N. A. Çiftdemir B. Acunaş 27 1 0 17 Dec 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 34 28 0 26 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 33 91 0 14 Sep 2022
On Specification-based Cyber-Attack Detection in Smart Grids Ömer Sen Maik Lühman Florian Sprünken Immanuel Hacker Andreas Ulbig Michael Andres Martin Henze 38 5 0 09 Sep 2022
Grounding Explainability Within the Context of Global South in XAI Deepa Singh M. Slupczynski Ajit G. Pillai Vinoth Pandian Sermuga Pandian 19 3 0 13 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting Ulrike Kuhl André Artelt Barbara Hammer 40 25 0 11 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 38 18 0 06 May 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods Helena Lofstrom K. Hammar Ulf Johansson XAI 32 11 0 25 Mar 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 21 169 0 14 Feb 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 29 306 0 01 Nov 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 14 17 0 21 Oct 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 42 30 0 11 Sep 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability Niamh Belton I. Welaratne Adil Dahlan Ron Hearne Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 24 13 0 18 Aug 2021
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation André M. Carrington D. Manuel Paul Fieguth T. Ramsay V. Osmani ... S. Hawken M. McInnes Olivia Magwood Yusuf Sheikh Andreas Holzinger 25 129 0 21 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language Md. Rezaul Karim Sumon Dey Tanhim Islam Sagor Sarker Mehadi Hasan Menon Kabir Hossain Bharathi Raja Chakravarthi Md. Azam Hossain Stefan Decker 30 77 0 28 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 33 112 0 10 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva Rohit Chopra Matthew C. Gombolay TDI 23 15 0 03 Dec 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology H. Gu Yuan Liang Yifan Xu Christopher Kazu Williams S. Magaki ... Wenzhong Yan X. R. Zhang Yang Li Mohammad Haeri Xiang Ánthony' Chen 40 29 0 23 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 0 16 Mar 2020
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 21 298 0 03 Dec 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,698 0 28 Feb 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 349 10,639 0 19 Feb 2017