ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.05674
  4. Cited By
What Would You Ask the Machine Learning Model? Identification of User
  Needs for Model Explanations Based on Human-Model Conversations
v1v2v3 (latest)

What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations

7 February 2020
Michal Kuzba
P. Biecek
    HAI
ArXiv (abs)PDFHTML

Papers citing "What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations"

14 / 14 papers shown
MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks
MATCH: Engineering Transparent and Controllable Conversational XAI Systems through Composable Building Blocks
Sebe Vanbrabant
Gustavo Rovelo Ruiz
Davy Vanacken
111
0
0
27 Nov 2025
Model Science: getting serious about verification, explanation and control of AI systems
Model Science: getting serious about verification, explanation and control of AI systems
Przemyslaw Biecek
Wojciech Samek
152
2
0
27 Aug 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsProceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025
Somayeh Molaei
Lionel P. Robert
Nikola Banovic
355
0
0
09 May 2025
Measuring User Understanding in Dialogue-based XAI Systems
Measuring User Understanding in Dialogue-based XAI SystemsEuropean Conference on Artificial Intelligence (ECAI), 2024
Dimitry Mindlin
A. Robrecht
Michael Morasch
Philipp Cimiano
270
10
0
13 Aug 2024
Explaining Genetic Programming Trees using Large Language Models
Explaining Genetic Programming Trees using Large Language Models
Paula Maddigan
Andrew Lensen
Bing Xue
AI4CE
296
10
0
06 Mar 2024
Position: Explain to Question not to Justify
Position: Explain to Question not to Justify
Przemysław Biecek
Wojciech Samek
370
30
0
21 Feb 2024
InterroLang: Exploring NLP Models and Datasets through Dialogue-based
  Explanations
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nils Feldhus
Qianli Wang
Tatiana Anikina
Sahil Chopra
Cennet Oguz
Sebastian Möller
396
21
0
09 Oct 2023
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of
  Service-oriented Systems
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsInternational Conference on Service Oriented Computing (ICSOC), 2023
Andreas Metzger
Jon Bartel
Jan Laufer
229
7
0
25 Sep 2023
Manipulation Risks in Explainable AI: The Implications of the
  Disagreement Problem
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
S. Goethals
David Martens
Theodoros Evgeniou
362
13
0
24 Jun 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human
  Understanding with Luhmann's Functional Theory of Communication
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
437
9
0
07 Feb 2023
Explaining Machine Learning Models in Natural Conversations: Towards a
  Conversational XAI Agent
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent
Van Bach Nguyen
Jorg Schlotterer
C. Seifert
AILaw
222
20
0
06 Sep 2022
Prolog-based agnostic explanation module for structured pattern
  classification
Prolog-based agnostic explanation module for structured pattern classificationInformation Sciences (Inf. Sci.), 2021
Gonzalo Nápoles
Fabian Hoitsma
A. Knoben
A. Jastrzębska
Maikel Leon Espinosa
250
22
0
23 Dec 2021
Explainable AI, but explainable to whom?
Explainable AI, but explainable to whom?
Julie Gerlings
Millie Søndergaard Jensen
Arisa Shollo
231
53
0
10 Jun 2021
The Grammar of Interactive Explanatory Model Analysis
The Grammar of Interactive Explanatory Model AnalysisData mining and knowledge discovery (DMKD), 2020
Hubert Baniecki
Dariusz Parzych
P. Biecek
488
54
0
01 May 2020
1
Page 1 of 1