Questioning the AI: Informing Design Practices for Explainable AI User Experiences

8 January 2020

Papers citing "Questioning the AI: Informing Design Practices for Explainable AI User Experiences"

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Title
Responsibility: An Example-based Explainable AI approach via Training Process Inspection Faraz Khadivpour Arghasree Banerjee Matthew J. Guzdial XAI 6 2 0 07 Sep 2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent Van Bach Nguyen Jorg Schlotterer C. Seifert AILaw 12 11 0 06 Sep 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 21 3 0 18 Aug 2022
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence Shagufta Henna Juan Miguel Lopez Alcaraz FAtt XAI 14 2 0 26 Jul 2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions Bhushan Kotnis Kiril Gashteovski J. Gastinger G. Serra Francesco Alesiani T. Sztyler Ammar Shaker Na Gong Carolin (Haas) Lawrence Zhao Xu 16 9 0 10 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Slack Satyapriya Krishna Himabindu Lakkaraju Sameer Singh 19 73 0 08 Jul 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 16 4 0 28 Jun 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 8 80 0 22 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance Andrew Bell O. Nov Julia Stoyanovich 17 26 0 10 Jun 2022
The Algorithmic Imprint Upol Ehsan Ranjit Singh Jacob Metcalf Mark O. Riedl FaML 14 31 0 03 Jun 2022
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements Umm-e-Habiba Justus Bogner Stefan Wagner XAI 9 13 0 03 Jun 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta F. Pérez-Cruz Michele Volpi FAtt 24 9 0 23 May 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India Divya Ramesh Vaishnav Kameswaran Ding-wen Wang Nithya Sambasivan 14 35 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 6 59 0 10 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 6 29 0 09 May 2022
Creative Uses of AI Systems and their Explanations: A Case Study from Insurance Michaela Benk Raphael P. Weibel Andrea Ferrario 15 2 0 02 May 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 11 129 0 25 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease J. Li 14 26 0 11 Apr 2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions Alicia Parrish H. Trivedi Ethan Perez Angelica Chen Nikita Nangia Jason Phang Sam Bowman 11 14 0 11 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective Jinbin Huang Aditi Mishra Bum Chul Kwon Chris Bryan FAtt HAI 31 31 0 04 Apr 2022
Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures Nicolas Scharowski S. Perrig Nick von Felten Florian Brühlmann 11 22 0 23 Mar 2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations Steven Hicks A. Storaas Michael Riegler Cise Midoglu Malek Hammou Thomas de Lange Sravanthi Parasa P. Halvorsen Inga Strümke XAI FAtt 12 4 0 23 Mar 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 17 52 0 21 Mar 2022
Assessing Gender Bias in Predictive Algorithms using eXplainable AI C. Manresa-Yee Silvia Ramis FaML 6 11 0 19 Mar 2022
Towards a Roadmap on Software Engineering for Responsible AI Qinghua Lu Liming Zhu Xiwei Xu Jon Whittle Zhenchang Xing 18 53 0 09 Mar 2022
An Uncommon Task: Participatory Design in Legal AI Fernando A. Delgado Solon Barocas K. Levy 8 34 0 08 Mar 2022
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning Marc Zoller Waldemar Titov T. Schlegel Marco F. Huber HAI 11 9 0 24 Feb 2022
Explainability in Machine Learning: a Pedagogical Perspective Andreas Bueff I. Papantonis Auste Simkute Vaishak Belle 8 1 0 21 Feb 2022
Better Together? An Evaluation of AI-Supported Code Translation Justin D. Weisz Michael J. Muller Steven I. Ross Fernando Martinez Stephanie Houde Mayank Agarwal Kartik Talamadupula John T. Richards 29 67 0 15 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 10 9 0 15 Feb 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 24 157 0 10 Feb 2022
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users Prerna Juneja Tanushree Mitra CML 11 0 0 05 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective Himabindu Lakkaraju Dylan Slack Yuxin Chen Chenhao Tan Sameer Singh LRM 8 64 0 03 Feb 2022
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 28 6 0 22 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 9 61 0 28 Dec 2021
Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization Mingming Fan Xianyou Yang Tsz Tung Yu Vera Q. Liao J. Zhao 16 1 0 23 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 19 128 0 21 Dec 2021
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 11 184 0 21 Dec 2021
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 18 120 0 21 Dec 2021
Do explanations increase the effectiveness of AI-crowd generated fake news warnings? Ziv Epstein N. Foppiani Sophie Hilgard Sanjana Sharma Elena L. Glassman David G. Rand 15 38 0 07 Dec 2021
The Science of Rejection: A Research Area for Human Computation Burcu Sayin Jie Yang Andrea Passerini Fabio Casati HAI 9 5 0 11 Nov 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 11 221 0 20 Oct 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 49 57 0 26 Sep 2021
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability J. Benjamin C. Kinkeldey Claudia Muller-Birn Tim Korjakow Eva-Maria Herbst 65 8 0 24 Sep 2021
From Heatmaps to Structural Explanations of Image Classifiers Li Fuxin Zhongang Qi Saeed Khorram Vivswan Shitole Prasad Tadepalli Minsuk Kahng Alan Fern XAI FAtt 14 4 0 13 Sep 2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML CML HAI 11 21 0 12 Sep 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 17 30 0 11 Sep 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 27 83 0 28 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 11 21 0 20 Jul 2021
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI) J. H. Hsiao H. Ngai Luyu Qiu Yi Yang Caleb Chen Cao XAI 15 27 0 20 Jul 2021