Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs

23 April 2020

Papers citing "Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs"

50 / 89 papers shown

Title
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management Stefano Genetti Alberto Longobardi Giovanni Iacca 61 0 0 16 Apr 2025
SPHERE: An Evaluation Card for Human-AI Systems Qianou Ma Dora Zhao Xinran Zhao Chenglei Si Chenyang Yang Ryan Louie Ehud Reiter Diyi Yang Tongshuang Wu ALM 68 1 0 24 Mar 2025
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 47 0 0 04 Nov 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 34 0 0 28 Oct 2024
Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science Ziwei Dong Ameya Patil Yuichi Shoda Leilani Battle Emily Wall AI4CE 35 1 0 07 Oct 2024
The FIX Benchmark: Extracting Features Interpretable to eXperts Helen Jin Shreya Havaldar Chaehyeon Kim Anton Xue Weiqiu You ... Bhuvnesh Jain Amin Madani M. Sako Lyle Ungar Eric Wong 31 1 0 20 Sep 2024
The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone Mobile Edyta Bogucka Marios Constantinides Julia De Miguel Velazquez S. Šćepanović Daniele Quercia Andrés Gvirtz 47 1 0 22 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 56 1 0 11 Jul 2024
"It answers questions that I didn't know I had": Ph.D. Students' Evaluation of an Information Sharing Knowledge Graph S. Gardasevic Manika Lamba 33 1 0 11 Jun 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 48 3 0 04 May 2024
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults Tongze Zhang Tammy Chung Anind Dey Sang Won Bae 36 3 0 22 Apr 2024
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows Lindsey Linxi Wei Chung Yik Edward Yeung Hongjian Yu Jingchuan Zhou Dong He Magdalena Balazinska OOD 26 0 0 09 Apr 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows G. Guo Dustin L. Arendt Alex Endert 53 1 0 02 Apr 2024
A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs Harry Li G. Appleby Ashley Suh 47 7 0 01 Apr 2024
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems Zinat Ara Hossein Salemi Sungsoo Ray Hong Yasas Senarath Steve Peterson A. Hughes Hemant Purohit 45 2 0 04 Mar 2024
Content-Centric Prototyping of Generative AI Applications: Emerging Approaches and Challenges in Collaborative Software Teams Hari Subramonyam Divy Thakkar Jurgen Dieber Anoop Sinha 55 3 0 27 Feb 2024
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models Pedro Seber R. D. Braatz 44 3 0 27 Feb 2024
Farsight: Fostering Responsible AI Awareness During AI Application Prototyping Zijie J. Wang Chinmay Kulkarni Lauren Wilcox Michael Terry Michael A. Madaio 45 44 0 23 Feb 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Weronika Hryniewska-Guzik Bartosz Sawicki P. Biecek 38 0 0 30 Jan 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Nahyun Kwon Tong Sun Yuyang Gao Liang Zhao Xu Wang Jeeeun Kim S. Hong 21 2 0 29 Jan 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 59 7 0 20 Jan 2024
Pyreal: A Framework for Interpretable ML Explanations Alexandra Zytek Wei-En Wang Dongyu Liu Laure Berti-Equille K. Veeramachaneni LRM 50 0 0 20 Dec 2023
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring Alexandra Zytek Wei-En Wang S. Koukoura K. Veeramachaneni 50 0 0 05 Dec 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 37 16 0 06 Oct 2023
Personalized Guidelines for Design, Implementation and Evaluation of Anti-phishing Interventions Orvila Sarker Sherif Haggag Asangi Jayatilaka Chelsea Liu 25 3 0 01 Oct 2023
A Survey on Image-text Multimodal Models Ruifeng Guo Jingxuan Wei Linzhuang Sun Khai Le-Duc Guiyong Chang Dawei Liu Sibo Zhang Zhengbing Yao Mingjun Xu Liping Bu VLM 36 5 0 23 Sep 2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 28 2 0 28 Aug 2023
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios P. Goodarzi A. Schütze T. Schneider 31 0 0 28 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 32 8 0 10 Aug 2023
Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank Lars Sipos Ulrike Schäfer Katrin Glinka Claudia Muller-Birn 33 7 0 18 Jul 2023
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations Tong Sun Yuyang Gao Shubham Khaladkar Sijia Liu Liang Zhao Younghoon Kim S. Hong AAML FAtt HAI 34 6 0 08 Jul 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 58 159 0 02 Jun 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap Q. V. Liao Ziang Xiao ALM ELM 66 30 0 01 Jun 2023
MaskSearch: Querying Image Masks at Scale Dong He Jieyu Zhang Maureen Daum Alexander Ratner Magdalena Balazinska VLM 42 2 0 03 May 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 40 7 0 05 Apr 2023
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities Harry Li G. Appleby C. Brumar Remco Chang Ashley Suh 31 23 0 03 Apr 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 38 59 0 21 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 36 7 0 10 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 59 0 0 06 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 40 83 0 31 Jan 2023
Towards Multifaceted Human-Centered AI Sajjadur Rahman H. Kim Dan Zhang Estevam R. Hruschka Eser Kandogan 18 1 0 09 Jan 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 31 39 0 07 Dec 2022
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research Akm Bahalul Haque A. Najmul Islam Patrick Mikalef XAI 32 95 0 24 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 30 20 0 12 Nov 2022
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction José Ribeiro Nikolas Carneiro Ronnie Cley de Oliveira Alves 19 0 0 19 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 32 10 0 17 Oct 2022
Self-explaining deep models with logic rule reasoning Seungeon Lee Xiting Wang Sungwon Han Xiaoyuan Yi Xing Xie M. Cha NAI ReLM LRM 40 16 0 13 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 43 108 0 02 Oct 2022
How Do We Measure Trust in Visual Data Communication? Hamza Elhamdadi Aimen Gaba Yea-Seul Kim Cindy Xiong 20 18 0 28 Sep 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 31 3 0 09 Aug 2022