Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

26 June 2020

Tongshuang Wu

Papers citing "Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance"

44 / 94 papers shown

Title
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 45 0 16 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer Philipp Spitzer Niklas Kühl Marc Goutier 28 7 0 01 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 32 16 0 13 Jun 2022
Augmenting Scientific Creativity with an Analogical Search Engine Hyeonsu B Kang Xin-Yao Qian Tom Hope Dafna Shahaf Joel Chan A. Kittur 89 41 0 31 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 19 16 0 11 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima Nina Grgić-Hlavca Jin Keun Jeong M. Cha 13 37 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 24 55 0 10 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 38 78 0 06 May 2022
ExSum: From Local Explanations to Model Understanding Yilun Zhou Marco Tulio Ribeiro J. Shah FAtt LRM 16 25 0 30 Apr 2022
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation Maria De-Arteaga Alexandra Chouldechova Artur Dubrawski 27 4 0 29 Apr 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective Q. V. Liao S. Sundar 27 100 0 29 Apr 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 24 0 0 27 Apr 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 20 130 0 25 Apr 2022
Factors that influence the adoption of human-AI collaboration in clinical decision-making Patrick Hemmer Max Schemmer Lara Riefle Nico Rosellen Michael Vossing Niklas Kühl 30 11 0 19 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 17 56 0 14 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
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment Zichao Li Prakhar Sharma Xing Han Lù Jackie C.K. Cheung Siva Reddy HAI 25 26 0 06 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 36 106 0 05 Apr 2022
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support Ashish Sharma Inna Wanyin Lin Adam S. Miner David C. Atkins Tim Althoff AI4MH 11 190 0 28 Mar 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 28 1 0 07 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 16 6 0 06 Mar 2022
A Mental-Model Centric Landscape of Human-AI Symbiosis Z. Zahedi S. Sreedharan Subbarao Kambhampati 19 4 0 18 Feb 2022
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations A. Shafti Victoria Derks Hannah Kay Aldo A. Faisal 14 7 0 16 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 186 0 03 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 19 1 0 30 Jan 2022
Natural Language Deduction through Search over Statement Compositions Kaj Bostrom Zayne Sprague Swarat Chaudhuri Greg Durrett ReLM LRM 27 46 0 16 Jan 2022
Improving mathematical questioning in teacher training Debajyoti Datta Maria Phillips J. Bywater Jennifer L. Chiu G. Watson Laura E. Barnes Donald E. Brown 21 0 0 02 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 36 43 0 22 Nov 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
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts Tongshuang Wu Michael Terry Carrie J. Cai LLMAG AI4CE LRM 31 446 0 04 Oct 2021
Exploring The Role of Local and Global Explanations in Recommender Systems Marissa Radensky Doug Downey Kyle Lo Z. Popović Daniel S. Weld University of Washington LRM 13 20 0 27 Sep 2021
The Flaws of Policies Requiring Human Oversight of Government Algorithms Ben Green 21 112 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
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 32 29 0 10 Mar 2021
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making Zana Buçinca M. Malaya Krzysztof Z. Gajos 28 299 0 19 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
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 41 240 0 01 Jan 2021
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 24 18 0 10 Dec 2020
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 32 108 0 15 Oct 2020
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 28 29 0 29 May 2019
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012