Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …
strategy of decision-making in different life domains. Regardless of this achievement, AI …
Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
Designing explainable AI to improve human-AI team performance: a medical stakeholder-driven scoping review
The rise of complex AI systems in healthcare and other sectors has led to a growing area of
research called Explainable AI (XAI) designed to increase transparency. In this area …
research called Explainable AI (XAI) designed to increase transparency. In this area …
How can we develop explainable systems? insights from a literature review and an interview study
L Chazette, J Klünder, M Balci… - Proceedings of the …, 2022 - dl.acm.org
Quality aspects such as ethics, fairness, and transparency have been proven to be essential
for trustworthy software systems. Explainability has been identified not only as a means to …
for trustworthy software systems. Explainability has been identified not only as a means to …
From spoken thoughts to automated driving commentary: Predicting and explaining intelligent vehicles' actions
D Omeiza, S Anjomshoae, H Webb… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
In commentary driving, drivers verbalise their observations, assessments and intentions. By
speaking out their thoughts, both learning and expert drivers are able to create a better …
speaking out their thoughts, both learning and expert drivers are able to create a better …
Sense–Assess–eXplain (SAX): Building trust in autonomous vehicles in challenging real-world driving scenarios
M Gadd, D De Martini, L Marchegiani… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
This paper discusses ongoing work in demonstrating research in mobile autonomy in
challenging driving scenarios. In our approach, we address fundamental technical issues to …
challenging driving scenarios. In our approach, we address fundamental technical issues to …
[HTML][HTML] Visualizing imperfect situation detection and prediction in automated vehicles: Understanding users' perceptions via user-chosen scenarios
User acceptance is essential for successfully introducing automated vehicles (AVs).
Understanding the technology is necessary to overcome skepticism and achieve …
Understanding the technology is necessary to overcome skepticism and achieve …
Requirements engineering for explainable systems
L Chazette - 2023 - repo.uni-hannover.de
Information systems are ubiquitous in modern life and are powered by evermore complex
algorithms that are often difficult to understand. Moreover, since systems are part of almost …
algorithms that are often difficult to understand. Moreover, since systems are part of almost …
Learning Racing From an AI Coach: Effects of Multimodal Autonomous Driving Explanations on Driving Performance, Cognitive Load, Expertise, and Trust
In a pre-post experiment (n= 41), we test the impact of an AI Coach's explanatory
communications modeled after the instructions of human driving experts. Participants were …
communications modeled after the instructions of human driving experts. Participants were …
Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust
Advances in autonomous driving provide an opportunity for AI-assisted driving instruction
that directly addresses the critical need for human driving improvement. How should an AI …
that directly addresses the critical need for human driving improvement. How should an AI …