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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"

29 / 29 papers shown

Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 427 0 0 05 Apr 2025
Unexploited Information Value in Human-AI Collaboration Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 75 1 0 03 Nov 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data Jingyu Zhang Marc Marone Tianjian Li Benjamin Van Durme Daniel Khashabi 149 9 0 05 Apr 2024
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 81 128 0 24 Feb 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 55 107 0 04 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 87 85 0 31 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 96 109 0 18 Jan 2023
Evaluating Human-Language Model Interaction Mina Lee Megha Srivastava Amelia Hardy John Thickstun Esin Durmus ... Hancheng Cao Tony Lee Rishi Bommasani Michael S. Bernstein Percy Liang LM&MA ALM 95 102 0 19 Dec 2022
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 68 174 0 13 Dec 2022
Measuring Progress on Scalable Oversight for Large Language Models Sam Bowman Jeeyoon Hyun Ethan Perez Edwin Chen Craig Pettit ... Tristan Hume Yuntao Bai Zac Hatfield-Dodds Benjamin Mann Jared Kaplan ALM ELM 79 132 0 04 Nov 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning Krzysztof Z. Gajos Lena Mamykina 76 103 0 11 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 246 195 0 03 Feb 2022
On the Diversity and Limits of Human Explanations Chenhao Tan 70 33 0 22 Jun 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 88 64 0 16 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 44 70 0 25 Feb 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 65 313 0 19 Feb 2021
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 86 599 0 26 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 55 96 0 19 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 61 204 0 02 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 60 106 0 01 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 64 200 0 03 Feb 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 78 141 0 14 Jan 2020
A Human-Grounded Evaluation of SHAP for Alert Processing Hilde J. P. Weerts Werner van Ipenburg Mykola Pechenizkiy FAtt 55 70 0 07 Jul 2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort M. Raghu Katy Blumer G. Corrado Jon M. Kleinberg Ziad Obermeyer S. Mullainathan 156 140 0 28 Mar 2019
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 78 377 0 19 Nov 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 56 244 0 09 Mar 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 169 221 0 17 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 252 4,273 0 22 Jun 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,033 0 16 Feb 2016