In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making

12 May 2023

Papers citing "In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making"

39 / 39 papers shown

Title
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 24 0 0 09 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
LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations Laura Dietz Oleg Zendel P. Bailey Charles L. A. Clarke Ellese Cotterill Jeff Dalton Faegheh Hasibi Mark Sanderson Nick Craswell ELM 43 0 0 27 Apr 2025
$AI, Help Me Think$\unicode{x2014}$but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support$ AI, Help Me Think $\unicode{x2014}$ but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support Leon Reicherts Z. Zhang Elisabeth von Oswald Yuanting Liu Yvonne Rogers Mariam Hassib 29 1 0 09 Apr 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 119 0 0 05 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 94 5 0 12 Feb 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 43 0 0 19 Jan 2025
Challenges in Human-Agent Communication Gagan Bansal J. W. Vaughan Saleema Amershi Eric Horvitz Adam Fourney Hussein Mozannar Victor C. Dibia Daniel S. Weld LLMAG AAML AI4CE 83 4 0 28 Nov 2024
Unexploited Information Value in Human-AI Collaboration Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 29 1 0 03 Nov 2024
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting Taha Aksu Chenghao Liu Amrita Saha Sarah Tan Caiming Xiong Doyen Sahoo AI4TS 21 1 0 18 Oct 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 367 2 0 25 Sep 2024
Beyond Recommendations: From Backward to Forward AI Support of Pilots' Decision-Making Process Z. Zhang Sebastian S. Feger Lucas Dullenkopf Rulu Liao Lukas Süsslin Yuanting Liu Andreas Butz 35 4 0 13 Jun 2024
Large Language Models Cannot Explain Themselves Advait Sarkar LRM 35 7 0 07 May 2024
Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models Raymond Fok Nedim Lipka Tong Sun Alexa F. Siu 21 6 0 02 May 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 83 26 0 15 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 27 6 0 11 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Nguyen HAI AAML FAtt 29 6 0 08 Apr 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data Jingyu Zhang Marc Marone Tianjian Li Benjamin Van Durme Daniel Khashabi 85 9 0 05 Apr 2024
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps Romy Müller HAI 37 6 0 03 Apr 2024
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention Adiba Orzikulova Han Xiao Zhipeng Li Yukang Yan Yuntao wang Yuanchun Shi Marzyeh Ghassemi Sung-Ju Lee A. Dey XuhaiOrsonXu 23 17 0 03 Mar 2024
Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking Anjali Khurana Hariharan Subramonyam Parmit K. Chilana 45 30 0 12 Feb 2024
A Decision Theoretic Framework for Measuring AI Reliance Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 40 16 0 27 Jan 2024
Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making Zhuoran Lu Dakuo Wang Ming Yin 31 16 0 13 Jan 2024
Does Explainable AI Have Moral Value? Joshua L.M. Brand Luca Nannini XAI 23 0 0 05 Nov 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
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong Chenglei Si Navita Goyal Sherry Tongshuang Wu Chen Zhao Shi Feng Hal Daumé Jordan L. Boyd-Graber LRM 39 39 0 19 Oct 2023
Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces Hariharan Subramonyam Roy Pea Christopher Pondoc Maneesh Agrawala Colleen M. Seifert 30 47 0 25 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 20 7 0 15 Sep 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen Valerie Chen Mohammad Reza Taesiri Anh Totti Nguyen 24 4 0 25 Aug 2023
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation Andre Ye Quan Ze Chen Amy X. Zhang UQCV 17 1 0 15 Aug 2023
The Impact of Imperfect XAI on Human-AI Decision-Making Katelyn Morrison Philipp Spitzer Violet Turri Michelle C. Feng Niklas Kühl Adam Perer 25 32 0 25 Jul 2023
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure S. Swaroop Zana Buçinca Krzysztof Z. Gajos Finale Doshi-Velez 19 14 0 12 Jun 2023
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems Navita Goyal Eleftheria Briakou Amanda Liu Connor Baumler C. Bonial J. Micher Clare R. Voss Marine Carpuat Hal Daumé 17 9 0 23 May 2023
Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement Quan Ze Chen Amy X. Zhang 27 7 0 02 May 2023
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Slack Satyapriya Krishna Himabindu Lakkaraju Sameer Singh 22 73 0 08 Jul 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 172 185 0 03 Feb 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 28 15 0 27 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 63 114 0 06 Dec 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 136 119 0 21 Jan 2021