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Some Critical and Ethical Perspectives on the Empirical Turn of AI
  Interpretability

Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability

20 September 2021
Jean-Marie John-Mathews
ArXivPDFHTML

Papers citing "Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability"

5 / 5 papers shown
Title
Establishing and Evaluating Trustworthy AI: Overview and Research
  Challenges
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
36
3
0
15 Nov 2024
Mapping the Potential of Explainable AI for Fairness Along the AI
  Lifecycle
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
41
4
0
29 Apr 2024
Peeking Inside the Schufa Blackbox: Explaining the German Housing
  Scoring System
Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System
Dean-Robin Kern
Gunnar Stevens
Erik Dethier
Sidra Naveed
F. Alizadeh
Delong Du
Md. Shajalal
19
1
0
20 Nov 2023
A Critical Survey on Fairness Benefits of Explainable AI
A Critical Survey on Fairness Benefits of Explainable AI
Luca Deck
Jakob Schoeffer
Maria De-Arteaga
Niklas Kühl
28
10
0
15 Oct 2023
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
1