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A Multistakeholder Approach Towards Evaluating AI Transparency
  Mechanisms

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms

27 March 2021
Ana Lucic
Madhulika Srikumar
Umang Bhatt
Alice Xiang
Ankur Taly
Q. V. Liao
Maarten de Rijke
ArXivPDFHTML

Papers citing "A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms"

3 / 3 papers shown
Title
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
Maria Heuss
Maarten de Rijke
Avishek Anand
124
1
0
24 Mar 2024
Towards the Use of Saliency Maps for Explaining Low-Quality
  Electrocardiograms to End Users
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users
Ana Lucic
Sheeraz Ahmad
Amanda Furtado Brinhosa
Q. V. Liao
Himani Agrawal
Umang Bhatt
K. Kenthapadi
Alice Xiang
Maarten de Rijke
N. Drabowski
26
2
0
06 Jul 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
1