The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

3 February 2022

Himabindu Lakkaraju

Papers citing "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective"

50 / 105 papers shown

Title
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
Is Task-Agnostic Explainable AI a Myth? Alicja Chaszczewicz 26 2 0 13 Jul 2023
Fighting the disagreement in Explainable Machine Learning with consensus A. Banegas-Luna Carlos Martínez-Cortés H. Sánchez FaML 31 1 0 03 Jul 2023
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations Vinitra Swamy Jibril Frej Tanja Kaser 34 14 0 01 Jul 2023
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Sebastian Müller Vanessa Toborek Katharina Beckh Matthias Jakobs Christian Bauckhage Pascal Welke FAtt 25 15 0 27 Jun 2023
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem S. Goethals David Martens Theodoros Evgeniou 36 4 0 24 Jun 2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 25 1 0 21 Jun 2023
Consistent Explanations in the Face of Model Indeterminacy via Ensembling Dan Ley Leonard Tang Matthew Nazari Hongjin Lin Suraj Srinivas Himabindu Lakkaraju 24 2 0 09 Jun 2023
Sound Explanation for Trustworthy Machine Learning Kai Jia Pasapol Saowakon L. Appelbaum Martin Rinard XAI FAtt FaML 21 2 0 08 Jun 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery Patrick Wagner Temesgen Mehari Wilhelm Haverkamp Nils Strodthoff 42 18 0 26 May 2023
Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna Jiaqi Ma Dylan Slack Asma Ghandeharioun Sameer Singh Himabindu Lakkaraju ReLM LRM 28 54 0 19 May 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 28 2 0 28 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can be deceptive Dieter Brughmans Lissa Melis David Martens 31 3 0 25 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 21 37 0 20 Apr 2023
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions Hongjing Xia Joshua C. Chang S. Nowak Sonya Mahajan R. Mahajan Ted L. Chang Carson C. Chow 38 1 0 19 Apr 2023
The XAISuite framework and the implications of explanatory system dissonance Shreyan Mitra Leilani H. Gilpin FAtt 33 1 0 15 Apr 2023
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management Xueying Ding Nikita Seleznev Senthil Kumar C. Bayan Bruss L. Akoglu 28 3 0 06 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 55 3 0 30 Mar 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 32 0 0 27 Mar 2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Avi Schwarzschild Max Cembalest K. Rao Keegan E. Hines John P Dickerson FAtt 17 5 0 23 Mar 2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere Zijie J. Wang Duen Horng Chau 17 3 0 16 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 26 2 0 03 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 30 1 0 17 Feb 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 37 21 0 14 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 54 0 0 06 Feb 2023
Quantifying Context Mixing in Transformers Hosein Mohebbi Willem H. Zuidema Grzegorz Chrupała A. Alishahi 168 24 0 30 Jan 2023
Explainable AI does not provide the explanations end-users are asking for Savio Rozario G. Cevora XAI 20 0 0 25 Jan 2023
How Data Scientists Review the Scholarly Literature Sheshera Mysore Mahmood Jasim Haoru Song Sarah Akbar Andre Kenneth Chase Randall Narges Mahyar AI4CE 34 8 0 10 Jan 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 47 39 0 24 Oct 2022
Conditional Feature Importance for Mixed Data Kristin Blesch David S. Watson Marvin N. Wright 50 7 0 06 Oct 2022
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 74 35 0 08 Sep 2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death Joshua C. Chang Ted L. Chang Carson C. Chow R. Mahajan Sonya Mahajan Joe Maisog Shashaank Vattikuti Hongjing Xia FAtt OOD 37 0 0 28 Aug 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
Learning Unsupervised Hierarchies of Audio Concepts Darius Afchar Romain Hennequin Vincent Guigue 43 2 0 21 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Slack Satyapriya Krishna Himabindu Lakkaraju Sameer Singh 24 74 0 08 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 40 0 0 04 Jul 2022
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI Leilani H. Gilpin Andrew R. Paley M. A. Alam Sarah Spurlock Kristian J. Hammond XAI 26 6 0 27 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 29 141 0 22 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 30 8 0 07 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 37 87 0 02 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 23 21 0 02 Jun 2022
Unfooling Perturbation-Based Post Hoc Explainers Zachariah Carmichael Walter J. Scheirer AAML 60 14 0 29 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 56 16 0 17 May 2022
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts A. Banegas-Luna Horacio Pérez-Sánchez 30 1 0 12 May 2022
A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing Michael Neely Stefan F. Schouten Maurits J. R. Bleeker Ana Lucic XAI 21 16 0 09 May 2022
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics Mariana C. A. Clare Maike Sonnewald Redouane Lguensat Julie Deshayes Venkatramani Balaji BDL 26 31 0 30 Apr 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 27 0 0 04 Apr 2022
A Typology for Exploring the Mitigation of Shortcut Behavior Felix Friedrich Wolfgang Stammer P. Schramowski Kristian Kersting LLMAG 18 9 0 04 Mar 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 39 77 0 25 Jan 2022