Metrics for Explainable AI: Challenges and Prospects

11 December 2018

Papers citing "Metrics for Explainable AI: Challenges and Prospects"

50 / 115 papers shown

Title
Towards Practical Explainability with Cluster Descriptors Xiaoyuan Liu Ilya Tyagin Hayato Ushijima-Mwesigwa Indradeep Ghosh Ilya Safro 32 4 0 18 Oct 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations Vasilis Gkolemis Theodore Dalamagas Christos Diou 19 12 0 10 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 43 3 0 10 Oct 2022
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability? Matija Franklin TDI 23 1 0 05 Oct 2022
Understandable Robots Shikhar Kumar 22 13 0 22 Sep 2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Zhibo Zhang H. A. Hamadi Ernesto Damiani C. Yeun Fatma Taher AAML 37 148 0 31 Aug 2022
Are we measuring trust correctly in explainability, interpretability, and transparency research? Tim Miller 25 23 0 31 Aug 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems Silvan Mertes Christina Karle Tobias Huber Katharina Weitz Ruben Schlagowski Elisabeth André 23 12 0 19 Jul 2022
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality Lilit Avetisyan Jackie Ayoub Feng Zhou FAtt 19 34 0 15 Jul 2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios Francisco Cruz Charlotte Young Richard Dazeley Peter Vamplew 30 9 0 07 Jul 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 21 4 0 28 Jun 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
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts Ashley Suh G. Appleby Erik W. Anderson Luca A. Finelli Remco Chang Dylan Cashman 38 8 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
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency Iñigo López-Riobóo Botana V. Bolón-Canedo B. Guijarro-Berdiñas Amparo Alonso-Betanzos 26 2 0 03 May 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective Q. V. Liao S. Sundar 27 100 0 29 Apr 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 29 34 0 22 Apr 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 27 22 0 21 Apr 2022
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making Max Schemmer Patrick Hemmer Niklas Kühl Carina Benz G. Satzger 25 56 0 14 Apr 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože M. Rožanec Elena Trajkova I. Novalija Patrik Zajec K. Kenda B. Fortuna Dunja Mladenić 39 9 0 12 Apr 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
IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare Chinasa T. Okolo Michelle González Amador 24 0 0 29 Oct 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
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 21 5 0 08 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces Francesco Sovrano F. Vitali 48 14 0 02 Oct 2021
Exploring The Role of Local and Global Explanations in Recommender Systems Marissa Radensky Doug Downey Kyle Lo Z. Popović Daniel S. Weld University of Washington LRM 18 20 0 27 Sep 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
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 43 43 0 10 Jun 2021
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program Jeff Druce J. Niehaus Vanessa Moody David D. Jensen Michael L. Littman 23 15 0 10 Jun 2021
Explainable Activity Recognition for Smart Home Systems Devleena Das Yasutaka Nishimura R. Vivek Naoto Takeda Sean T. Fish Thomas Ploetz Sonia Chernova 24 41 0 20 May 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 21 15 0 20 May 2021
Contrastive Explanations of Plans Through Model Restrictions Benjamin Krarup Senka Krivic Daniele Magazzeni D. Long Michael Cashmore David E. Smith 27 32 0 29 Mar 2021
A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms Ana Lucic Madhulika Srikumar Umang Bhatt Alice Xiang Ankur Taly Q. V. Liao Maarten de Rijke 28 5 0 27 Mar 2021
Explainable AI by BAPC -- Before and After correction Parameter Comparison F. Sobieczky Manuela Geiß 16 1 0 12 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 11 214 0 09 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 32 146 0 26 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
Quantitative Evaluations on Saliency Methods: An Experimental Study Xiao-hui Li Yuhan Shi Haoyang Li Wei Bai Yuanwei Song Caleb Chen Cao Lei Chen FAtt XAI 47 18 0 31 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 39 69 0 22 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva Rohit Chopra Matthew C. Gombolay TDI 26 15 0 03 Dec 2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology Guillaume Jaume Pushpak Pati Behzad Bozorgtabar Antonio Foncubierta-Rodríguez Florinda Feroce A. Anniciello T. Rau Jean-Philippe Thiran M. Gabrani O. Goksel FAtt 28 76 0 25 Nov 2020
Iterative Planning with Plan-Space Explanations: A Tool and User Study Rebecca Eifler Jörg Hoffmann LRM 16 2 0 19 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 28 396 0 19 Oct 2020
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier Courtney Ford Eoin M. Kenny Mark T. Keane 23 6 0 10 Sep 2020
The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems Mahsan Nourani J. King Eric D. Ragan 25 99 0 20 Aug 2020
Machine Learning Explanations to Prevent Overtrust in Fake News Detection Sina Mohseni Fan Yang Shiva K. Pentyala Mengnan Du Yi Liu Nic Lupfer Xia Hu Shuiwang Ji Eric D. Ragan 21 41 0 24 Jul 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 36 15 0 17 Jul 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 22 94 0 19 Jun 2020