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"

50 / 240 papers shown

Title
Responsibility: An Example-based Explainable AI approach via Training Process Inspection Faraz Khadivpour Arghasree Banerjee Matthew J. Guzdial XAI 14 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 23 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 23 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 19 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 25 9 0 10 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Slack Satyapriya Krishna Himabindu Lakkaraju Sameer Singh 24 74 0 08 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
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 21 81 0 22 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance Andrew Bell O. Nov Julia Stoyanovich 27 26 0 10 Jun 2022
The Algorithmic Imprint Upol Ehsan Ranjit Singh Jacob Metcalf Mark O. Riedl FaML 33 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 16 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 22 35 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 8 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 31 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 20 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 18 130 0 25 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease J. Li 24 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 17 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 38 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 19 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 19 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 14 11 0 19 Mar 2022
Towards a Roadmap on Software Engineering for Responsible AI Qinghua Lu Liming Zhu Xiwei Xu Jon Whittle Zhenchang Xing 23 53 0 09 Mar 2022
An Uncommon Task: Participatory Design in Legal AI Fernando A. Delgado Solon Barocas K. Levy 15 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 13 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 23 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 33 157 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 19 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 16 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 22 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 24 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 27 128 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 18 186 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 25 121 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 25 38 0 07 Dec 2021
The Science of Rejection: A Research Area for Human Computation Burcu Sayin Jie Yang Andrea Passerini Fabio Casati HAI 16 5 0 11 Nov 2021
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences Q. V. Liao R. Varshney 17 224 0 20 Oct 2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 56 58 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 68 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 23 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 16 21 0 12 Sep 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 31 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 32 85 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 27 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 28 27 0 20 Jul 2021