On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

19 November 2018

Papers citing "On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection"

50 / 52 papers shown

Title
Eye Movements as Indicators of Deception: A Machine Learning Approach Valentin Foucher Santiago de Leon-Martinez Robert Moro 23 0 0 05 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions Federico Maria Cau Lucio Davide Spano 31 0 0 02 May 2025
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making Takehiro Takayanagi Ryuji Hashimoto Chung-Chi Chen Kiyoshi Izumi 52 0 0 21 Feb 2025
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 54 0 0 10 Feb 2025
Unexploited Information Value in Human-AI Collaboration Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 29 1 0 03 Nov 2024
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making Min Hun Lee Renee Bao Xuan Ng Silvana Xin Yi Choo S. Thilarajah 26 0 0 24 Sep 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 31 10 0 13 Aug 2024
Whether to trust: the ML leap of faith Tory Frame Sahraoui Dhelim George Stothart E. Coulthard 33 0 0 17 Jul 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 26 20 0 25 Mar 2024
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 20 4 0 11 Aug 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
Artifact magnification on deepfake videos increases human detection and subjective confidence Emilie Josephs Camilo Luciano Fosco A. Oliva 27 6 0 10 Apr 2023
Towards Explainable AI Writing Assistants for Non-native English Speakers Yewon Kim Mina Lee Donghwi Kim Sung-Ju Lee 11 4 0 05 Apr 2023
Learning Human-Compatible Representations for Case-Based Decision Support Han Liu Yizhou Tian Chacha Chen Shi Feng Yuxin Chen Chenhao Tan 18 4 0 06 Mar 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
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
Improving Human-AI Collaboration With Descriptions of AI Behavior Ángel Alexander Cabrera Adam Perer Jason I. Hong 20 34 0 06 Jan 2023
A Human-ML Collaboration Framework for Improving Video Content Reviews Meghana Deodhar Xiao Ma Yixin Cai Alex Koes Alex Beutel Jilin Chen 23 3 0 18 Oct 2022
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 39 15 0 27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 33 45 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 23 45 0 16 Aug 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language R. Sevastjanova Mennatallah El-Assady LRM 27 9 0 14 Jul 2022
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction Sharadhi Alape Suryanarayana David Sarne Bar-Ilan 11 7 0 24 May 2022
Argumentative Explanations for Pattern-Based Text Classifiers Piyawat Lertvittayakumjorn Francesca Toni 27 4 0 22 May 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 16 16 0 11 May 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making Max Schemmer Patrick Hemmer Maximilian Nitsche Niklas Kühl Michael Vossing 19 55 0 10 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 18 129 0 25 Apr 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 20 1 0 07 Mar 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
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
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora Danish Pruthi Norman M. Sadeh William W. Cohen Zachary Chase Lipton Graham Neubig FAtt 30 38 0 17 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models? Thang M. Pham Trung H. Bui Long Mai Anh Totti Nguyen 21 7 0 22 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence Max Schemmer Niklas Kühl G. Satzger 16 13 0 28 Sep 2021
Decision-Focused Summarization Chao-Chun Hsu Chenhao Tan 23 16 0 14 Sep 2021
The Flaws of Policies Requiring Human Oversight of Government Algorithms Ben Green 13 110 0 10 Sep 2021
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies Riccardo Fogliato Alexandra Chouldechova Zachary Chase Lipton 24 31 0 03 Sep 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 31 79 0 30 Apr 2021
Increasing the Speed and Accuracy of Data LabelingThrough an AI Assisted Interface Michael Desmond Zahra Ashktorab Michelle Brachman Kristina Brimijoin E. Duesterwald ... Catherine Finegan-Dollak Michael J. Muller N. Joshi Qian Pan Aabhas Sharma 21 50 0 09 Apr 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 32 25 0 17 Feb 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 34 126 0 24 Jan 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 126 119 0 21 Jan 2021
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making Charvi Rastogi Yunfeng Zhang Dennis L. Wei Kush R. Varshney Amit Dhurandhar Richard J. Tomsett HAI 27 108 0 15 Oct 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 23 575 0 26 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 14 93 0 19 Jun 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study Ahmed Alqaraawi M. Schuessler Philipp Weiß Enrico Costanza N. Bianchi-Berthouze AAML FAtt XAI 22 197 0 03 Feb 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 19 138 0 14 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 35 701 0 08 Jan 2020
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 13 57 0 24 Jul 2019