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Building Trustworthy Human-Centric Autonomous Systems Via Explanations.. AAMAS, page 2752-2754. ACM, (2024)Communicative Efficiency or Iconic Learning: Do Acquisition and Communicative Pressures Interact to Shape Colour- Naming Systems?, , , , and . Entropy, 24 (11): 1542 (2022)Interpretable Goal-based Prediction and Planning for Autonomous Driving., , , , , , and . ICRA, page 1043-1049. IEEE, (2021)A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning., , , , , and . CoRR, (2022)Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review., , , , and . CoRR, (2024)Aligning Explainable AI and the Law: The European Perspective., and . CoRR, (2023)Deep Reinforcement Learning for Multi-Agent Interaction., , , , , , , , , and 7 other author(s). CoRR, (2022)Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act?, , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 964-971. IOS Press, (2023)People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior., , and . CoRR, (2024)GRIT: Verifiable Goal Recognition for Autonomous Driving using Decision Trees., , and . CoRR, (2021)