Manipulating and Measuring Model Interpretability

21 February 2018

Forough Poursabzi-Sangdeh

D. Goldstein

Jake M. Hofman

Jennifer Wortman Vaughan

Hanna M. Wallach

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Papers citing "Manipulating and Measuring Model Interpretability"

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Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users Julian Rosenberger Philipp Schröppel Sven Kruschel Mathias Kraus Patrick Zschech Maximilian Förster FAtt 34 0 0 11 May 2025
Beware of "Explanations" of AI David Martens Galit Shmueli Theodoros Evgeniou Kevin Bauer Christian Janiesch ... Claudia Perlich Wouter Verbeke Alona Zharova Patrick Zschech F. Provost 28 0 0 09 Apr 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies Sunnie S. Y. Kim J. Vaughan Q. V. Liao Tania Lombrozo Olga Russakovsky 112 5 0 12 Feb 2025
ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability Antonin Poché Alon Jacovi Agustin Picard Victor Boutin Fanny Jourdan 47 2 0 10 Jan 2025
Citations and Trust in LLM Generated Responses Yifan Ding Matthew Facciani Amrit Poudel Ellen Joyce Salvador Aguiñaga Balaji Veeramani Sanmitra Bhattacharya Tim Weninger HILM 49 3 0 03 Jan 2025
Personalized Help for Optimizing Low-Skilled Users' Strategy Feng Gu Wichayaporn Wongkamjan Jordan Lee Boyd-Graber Jonathan K. Kummerfeld Denis Peskoff Jonathan May 36 0 0 14 Nov 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models Upol Ehsan Mark O. Riedl 28 2 0 09 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 47 13 0 27 Jul 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 49 2 0 11 Jun 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 47 0 0 17 May 2024
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust Sunnie S. Y. Kim Q. V. Liao Mihaela Vorvoreanu Steph Ballard Jennifer Wortman Vaughan 45 51 0 01 May 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 42 20 0 25 Mar 2024
"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making Shuai Ma Xinru Wang Ying Lei Chuhan Shi Ming Yin Xiaojuan Ma 34 24 0 14 Mar 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 40 1 0 13 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 26 0 0 08 Feb 2024
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model Teresa Scantamburlo Joachim Baumann Christoph Heitz FaML 33 5 0 09 Oct 2023
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue! Rishabh Jain LRM 34 0 0 07 Sep 2023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning Aimen Gaba Zhanna Kaufman Jason Chueng Marie Shvakel Kyle Wm. Hall Yuriy Brun Cindy Xiong Bearfield 32 14 0 07 Aug 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 34 12 0 26 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
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 34 61 0 12 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Bingsheng Yao Prithviraj Sen Lucian Popa James A. Hendler Dakuo Wang XAI ELM FAtt 25 10 0 04 May 2023
Towards Evaluating Explanations of Vision Transformers for Medical Imaging Piotr Komorowski Hubert Baniecki P. Biecek MedIm 38 27 0 12 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 28 56 0 10 Apr 2023
Distrust in (X)AI -- Measurement Artifact or Distinct Construct? Nicolas Scharowski S. Perrig HILM 24 3 0 29 Mar 2023
Evaluating self-attention interpretability through human-grounded experimental protocol Milan Bhan Nina Achache Victor Legrand A. Blangero Nicolas Chesneau 31 9 0 27 Mar 2023
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 36 19 0 13 Feb 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 21 98 0 04 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 26 57 0 01 Feb 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 49 105 0 18 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 40 34 0 06 Jan 2023
On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi Krikamol Muandet Simon Kornblith Bernhard Schölkopf Been Kim FAtt CML 40 14 0 13 Dec 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 29 6 0 19 Nov 2022
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM Yangyi Zhang Sui Tang Guo-Ding Yu 24 11 0 14 Nov 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
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 50 15 0 27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 55 46 0 23 Sep 2022
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making K. Inkpen Shreya Chappidi Keri Mallari Besmira Nushi Divya Ramesh Pietro Michelucci Vani Mandava Libuvse Hannah Vepvrek Gabrielle Quinn 36 46 0 16 Aug 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
A Human-Centric Take on Model Monitoring Murtuza N. Shergadwala Himabindu Lakkaraju K. Kenthapadi 45 9 0 06 Jun 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 27 24 0 05 Jun 2022
Interpretation Quality Score for Measuring the Quality of interpretability methods Sean Xie Soroush Vosoughi Saeed Hassanpour XAI 21 5 0 24 May 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 24 70 0 19 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation Anamaria Crisan Margaret Drouhard Jesse Vig Nazneen Rajani HAI 40 87 0 05 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 39 130 0 25 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 19 56 0 14 Apr 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 19 13 0 12 Apr 2022
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support Anna Kawakami Venkatesh Sivaraman H. Cheng Logan Stapleton Yanghuidi Cheng Diana Qing Adam Perer Zhiwei Steven Wu Haiyi Zhu Kenneth Holstein 39 107 0 05 Apr 2022