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Explainability Fact Sheets: A Framework for Systematic Assessment of
  Explainable Approaches

Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches

11 December 2019
Kacper Sokol
Peter A. Flach
    XAI
ArXivPDFHTML

Papers citing "Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches"

27 / 27 papers shown
Title
Explainable AI needs formal notions of explanation correctness
Explainable AI needs formal notions of explanation correctness
Stefan Haufe
Rick Wilming
Benedict Clark
Rustam Zhumagambetov
Danny Panknin
Ahcène Boubekki
XAI
26
0
0
22 Sep 2024
Explaining a probabilistic prediction on the simplex with Shapley compositions
Explaining a probabilistic prediction on the simplex with Shapley compositions
Paul-Gauthier Noé
Miquel Perelló Nieto
J. Bonastre
Peter Flach
TDI
FAtt
26
0
0
02 Aug 2024
Predictability and Comprehensibility in Post-Hoc XAI Methods: A
  User-Centered Analysis
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Anahid N. Jalali
Bernhard Haslhofer
Simone Kriglstein
Andreas Rauber
FAtt
17
4
0
21 Sep 2023
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
34
6
0
31 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Kacper Sokol
E. Small
Yueqing Xuan
32
5
0
05 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. V. Liao
J. Vaughan
36
158
0
02 Jun 2023
Explainability in AI Policies: A Critical Review of Communications,
  Reports, Regulations, and Standards in the EU, US, and UK
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
11
37
0
20 Apr 2023
UFO: A unified method for controlling Understandability and Faithfulness
  Objectives in concept-based explanations for CNNs
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
27
0
0
27 Mar 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
11
7
0
07 Feb 2023
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification
Kishaloy Halder
Josip Krapac
A. Akbik
Anthony Brew
Matti Lyra
30
0
0
30 Nov 2022
Evaluating the Explainers: Black-Box Explainable Machine Learning for
  Student Success Prediction in MOOCs
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy
Bahar Radmehr
Natasa Krco
Mirko Marras
Tanja Kaser
FAtt
ELM
11
39
0
01 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus
A. Ravichandran
Sebastian Möller
27
16
0
13 Jun 2022
Justifying Social-Choice Mechanism Outcome for Improving Participant
  Satisfaction
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction
Sharadhi Alape Suryanarayana
David Sarne
Bar-Ilan
11
7
0
24 May 2022
Argumentative Explanations for Pattern-Based Text Classifiers
Argumentative Explanations for Pattern-Based Text Classifiers
Piyawat Lertvittayakumjorn
Francesca Toni
27
4
0
22 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to
  Study Usability of Counterfactual Explanations for Machine Learning
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
Ulrike Kuhl
André Artelt
Barbara Hammer
27
17
0
06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model
  Documentation
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
25
87
0
05 May 2022
Explainability in reinforcement learning: perspective and position
Explainability in reinforcement learning: perspective and position
Agneza Krajna
Mario Brčič
T. Lipić
Juraj Dončević
26
26
0
22 Mar 2022
IMACS: Image Model Attribution Comparison Summaries
IMACS: Image Model Attribution Comparison Summaries
E. Schoop
Benjamin D. Wedin
A. Kapishnikov
Tolga Bolukbasi
Michael Terry
FAtt
21
1
0
26 Jan 2022
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate
  Harms in Artificial Intelligence
The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence
Kasia Chmielinski
S. Newman
Matt Taylor
Joshua Joseph
Kemi Thomas
Jessica Yurkofsky
Yue Qiu
25
51
0
10 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the
  Foundations of Explainable Artificial Intelligence
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
31
20
0
29 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in
  Deployed AI System
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System
Helen Jiang
Erwen Senge
25
7
0
02 Dec 2021
Some Critical and Ethical Perspectives on the Empirical Turn of AI
  Interpretability
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability
Jean-Marie John-Mathews
37
33
0
20 Sep 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
51
415
0
15 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
19
142
0
14 Dec 2020
Explanation from Specification
Explanation from Specification
Harish Naik
Gyorgy Turán
XAI
16
0
0
13 Dec 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
14
25
0
07 Oct 2020
Complex Sequential Data Analysis: A Systematic Literature Review of
  Existing Algorithms
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms
Kudakwashe Dandajena
I. Venter
Mehrdad Ghaziasgar
Reg Dodds
AI4TS
8
2
0
22 Jul 2020
1