Fetching the paper…
Reading the bibliography…
With the advent of GDPR, the domain of explainable AI and model interpretability has gained added impetus.
Contrastive explanation
Peter Lipton · 1990
Earlier work this paper cites.
Remote causes, bad explanations?
Jeroen Van Bouwel and Erik Weber · 2002
Earlier work this paper cites.
Explaining explanation
David-Hillel Ruben · 2015
Earlier work this paper cites.
Can we open the black box of ai?
Davide Castelvecchi · 2016
Earlier work this paper cites.
The mythos of model interpretability
Zachary C Lipton · 2016
Earlier work this paper cites.
Why should i trust you?: Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
Earlier work this paper cites.
Slave to the algorithm: Why a right to an explanation is probably not the remedy you are looking for
Lilian Edwards and Michael Veale · 2017
Cited alongside, same era.
Explainable artificial intelligence (xai)
David Gunning · 2017
Cited alongside, same era.
A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
Cited alongside, same era.
Counterfactual explanations without opening the black box: Automated decisions and the gdpr
Sandra Wachter, Brent Mittelstadt, and Chris Russell · 2017
Cited alongside, same era.
Generating counterfactual explanations with natural language
Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, and Zeynep Akata · 2018
Cited alongside, same era.
Interpretable machine learning
Christoph Molnar · 2018
Later among the works it cites.
Contrastive explanation for machine learning
MJ Robeer · 2018
Later among the works it cites.
Conversational explanations of machine learning predictions through class-contrastive counterfactual statements
Kacper Sokol and Peter A Flach · 2018
Later among the works it cites.
Contrastive explanations with local foil trees
Jasper van der Waa, Marcel Robeer, Jurriaan van Diggelen, Matthieu Brinkhuis, and Mark Neerincx · 2018
Later among the works it cites.
Contrastive explanations for reinforcement learning in terms of expected consequences
Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch, and Mark Neerincx · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Explanation in artificial intelligence: Insights from the social sciences
Tim Miller · 2018
Cited alongside, same era.
Eso-5w1h framework: Ontological model for sitl paradigm
Shubham Rathi and Aniket Alam
Cited in the paper.
Explaining explanations in ai
Brent Mittelstadt, Chris Russell, and Sandra Wachter · 2019
Closest in time.