Fetching the paper…
Reading the bibliography…
Inscrutable AI systems are difficult to trust, especially if they operate in safety-critical settings like autonomous driving.
"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.
Interpreting Blackbox Models via Model Extraction
Osbert Bastani, Carolyn Kim, and Hamsa Bastani · 2017
Earlier work this paper cites.
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Interpretable & Explorable Approximations of Black Box Models
Himabindu Lakkaraju, Ece Kamar, Rich Caruana, and Jure Leskovec · 2017
Earlier work this paper cites.
Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving
David R. Large, Leigh Clark, Annie Quandt, Gary Burnett, and Lee Skrypchuk · 2017
Earlier work this paper cites.
A Unified Approach to Interpreting Model Predictions
Scott Lundberg and Su-In Lee · 2017
Earlier work this paper cites.
Explaining nonlinear classification decisions with deep Taylor decomposition
Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, and Klaus-Robert Müller · 2017
Earlier work this paper cites.
Towards Providing Explanations for AI Planner Decisions
Rita Borgo, Michael Cashmore, and Daniele Magazzeni · 2018
Earlier work this paper cites.
Textual Explanations for Self-Driving Vehicles
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata · 2018
Cited alongside, same era.
Toward Natural Explanations for a Robot’s Navigation Plans
Raj Korpan and Susan L Epstein · 2018
Cited alongside, same era.
Autonomous Cars: Research Results, Issues, and Future Challenges
Rasheed Hussain and Sherali Zeadally · 2019
Cited alongside, same era.
Explanation in artificial intelligence: Insights from the social sciences
Tim Miller · 2019
Cited alongside, same era.
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan and Mark Riedl · 2020
Cited alongside, same era.
"I’d like an Explanation for That!" Exploring Reactions to Unexpected Autonomous Driving
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, and Randy Goebel · 2021
Later among the works it cites.
Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, and Francisco Cruz · 2021
Later among the works it cites.
Users’ Trust in and Concerns about Automated Driving Systems
Woon Kim and Tara Kelley-Baker · 2021
Later among the works it cites.
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving
Daniel Omeiza, Helena Web, Marina Jirotka, and Lars Kunze · 2021
Later among the works it cites.
Explanations in Autonomous Driving: A Survey
Daniel Omeiza, Helena Webb, Marina Jirotka, and Lars Kunze · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gesa Wiegand, Malin Eiband, Maximilian Haubelt, and Heinrich Hussmann · 2020
Cited alongside, same era.
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, and Subramanian Ramamoorthy · 2021
Cited alongside, same era.
Later among the works it cites.
Driving Behavior Explanation with Multi-level Fusion
Hédi Ben-Younes, Éloi Zablocki, Patrick Pérez, and Matthieu Cord · 2022
Closest in time.
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress
Hong Wang, Amir Khajepour, Dongpu Cao, and Teng Liu · 2022
Closest in time.