"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans

14 January 2020

Papers citing ""Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans"

50 / 87 papers shown

Title
Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices Xinru Wang Mengjie Yu Hannah Nguyen Michael Iuzzolino Tianyi Wang ... Ting Zhang Naveen Sendhilnathan Hrvoje Benko Haijun Xia Tanya R. Jonker 48 0 0 26 Feb 2025
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL Wichayaporn Wongkamjan Yanze Wang Feng Gu Denis Peskoff Jonathan K. Kummerfeld Jonathan May Jordan Boyd-Graber 46 0 0 18 Feb 2025
From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ziang Xiao Ming Yin 47 0 0 17 Feb 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 94 5 0 12 Feb 2025
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant Gaole He Gianluca Demartini U. Gadiraju LLMAG 65 8 0 03 Feb 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 38 6 0 29 Jan 2025
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition Gaole He Patrick Hemmer Michael Vossing Max Schemmer U. Gadiraju 39 0 0 19 Jan 2025
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary Zhuoyan Li Ming Yin 25 3 0 02 Nov 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 24 0 0 28 Oct 2024
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems Gaole He Abri Bharos U. Gadiraju 24 4 0 22 Sep 2024
A Two-Phase Visualization System for Continuous Human-AI Collaboration in Sequelae Analysis and Modeling Ouyang Yang Chenyang Zhang He Wang Tianle Ma Chang Jiang Yuheng Yan Zuo-Qin Yan Xiaojuan Ma Chuhan Shi Quan Li 15 0 0 20 Jul 2024
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification Jiaming Qu Jaime Arguello Yue Wang FAtt 35 0 0 05 Jun 2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 44 1 0 23 May 2024
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support Felix Haag Carlo Stingl Katrin Zerfass K. Hopf Thorsten Staake 20 3 0 08 May 2024
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics Sunwoo Ha S. Monadjemi Alvitta Ottley 28 3 0 22 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 22 6 0 11 Apr 2024
Majority Voting of Doctors Improves Appropriateness of AI Reliance in Pathology H. Gu Chunxu Yang S. Magaki Neda Zarrin-Khameh N. Lakis ... Todd M. Stevens Sara L. Stone Wenzhong Yan Mohammad Haeri Xiang Ánthony' Chen 22 0 0 06 Apr 2024
Hypothesis Generation with Large Language Models Yangqiaoyu Zhou Haokun Liu Tejes Srivastava Hongyuan Mei Chenhao Tan LRM 31 26 0 05 Apr 2024
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence Patrick Hemmer Max Schemmer Niklas Kühl Michael Vossing G. Satzger 29 15 0 21 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 22 24 0 14 Mar 2024
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making Shuai Ma Chenyi Zhang Xinru Wang Xiaojuan Ma Ming Yin 18 8 0 04 Mar 2024
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing Md. Romael Haque Devansh Saxena Katherine Weathington Joseph Chudzik Shion Guha 33 9 0 08 Feb 2024
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making Zhuoran Lu Dakuo Wang Ming Yin 28 16 0 13 Jan 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making Shiye Cao Anqi Liu Chien-Ming Huang 22 9 0 11 Jan 2024
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making Milad Rogha 25 0 0 11 Dec 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding Hussein Mozannar Jimin J Lee Dennis L. Wei P. Sattigeri Subhro Das David Sontag 41 11 0 02 Nov 2023
Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review Catalina Gomez Sue Min Cho Shichang Ke Chien-Ming Huang Mathias Unberath 32 1 0 30 Oct 2023
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Navita Goyal Connor Baumler Tin Nguyen Hal Daumé 24 6 0 12 Oct 2023
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice Max Schemmer Andrea Bartos Philipp Spitzer Patrick Hemmer Niklas Kühl Jonas Liebschner G. Satzger 21 6 0 03 Oct 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge Anna Kawakami Luke M. Guerdan Yanghuidi Cheng Matthew L. Lee Scott A. Carter Nikos Arechiga Kate Glazko Haiyi Zhu Kenneth Holstein 22 11 0 30 Aug 2023
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance Omer Reingold J. Shen Aditi Talati FAtt LRM 22 3 0 14 Jul 2023
Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger ELM 28 12 0 22 Jun 2023
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 19 1 0 25 May 2023
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases Yiming Zhang Sravani Nanduri Liwei Jiang Tongshuang Wu Maarten Sap 36 7 0 23 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 19 61 0 12 May 2023
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration I. Papantonis Vaishak Belle 6 0 0 27 Apr 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction Patrick Hemmer Monika Westphal Max Schemmer S. Vetter Michael Vossing G. Satzger 36 42 0 16 Mar 2023
Learning Human-Compatible Representations for Case-Based Decision Support Han Liu Yizhou Tian Chacha Chen Shi Feng Yuxin Chen Chenhao Tan 15 4 0 06 Mar 2023
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making Chengbo Zheng Yuheng Wu Chuhan Shi Shuai Ma Jiehui Luo Xiaojuan Ma 25 26 0 17 Feb 2023
Assisting Human Decisions in Document Matching Joon Sik Kim Valerie Chen Danish Pruthi Nihar B. Shah Ameet Talwalkar 33 5 0 16 Feb 2023
Generation Probabilities Are Not Enough: Exploring the Effectiveness of Uncertainty Highlighting in AI-Powered Code Completions Helena Vasconcelos Gagan Bansal Adam Fourney Q. V. Liao Jennifer Wortman Vaughan 30 5 0 14 Feb 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 17 26 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 14 96 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 18 57 0 01 Feb 2023
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems Gaole He L. Kuiper U. Gadiraju 13 56 0 25 Jan 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 36 103 0 18 Jan 2023
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making Shuai Ma Ying Lei Xinru Wang Chengbo Zheng Chuhan Shi Ming Yin Xiaojuan Ma 14 98 0 14 Jan 2023
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 20 34 0 06 Jan 2023
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 21 164 0 13 Dec 2022
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 6 10 0 11 Dec 2022