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 …
Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …
the last decade. There is increasing interest in the field as the deployment of self-operating …
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 …
[HTML][HTML] Transparency in persuasive technology, immersive technology, and online marketing: Facilitating users' informed decision making and practical implications
In the current age of emerging technologies and big data, transparency has become an
important issue for technology users and online consumers. However, there is a lack of …
important issue for technology users and online consumers. However, there is a lack of …
Towards CRISP-ML (Q): a machine learning process model with quality assurance methodology
S Studer, TB Bui, C Drescher, A Hanuschkin… - Machine learning and …, 2021 - mdpi.com
Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …
academia, but a standard process model to improve success and efficiency of machine …
Designing fair AI in human resource management: Understanding tensions surrounding algorithmic evaluation and envisioning stakeholder-centered solutions
Enterprises have recently adopted AI to human resource management (HRM) to evaluate
employees' work performance evaluation. However, in such an HRM context where multiple …
employees' work performance evaluation. However, in such an HRM context where multiple …
Towards human-centered explainable ai: A survey of user studies for model explanations
Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A
better understanding of the needs of XAI users, as well as human-centered evaluations of …
better understanding of the needs of XAI users, as well as human-centered evaluations of …
Effects of scene detection, scene prediction, and maneuver planning visualizations on trust, situation awareness, and cognitive load in highly automated vehicles
The successful introduction of automated vehicles (AVs) depends on the user's acceptance.
To gain acceptance, the intended user must trust the technology, which itself relies on an …
To gain acceptance, the intended user must trust the technology, which itself relies on an …
What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles
Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …
[HTML][HTML] The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT
The topic of algorithmic fairness is of increasing importance to the Human–Computer
Interaction research community following accumulating concerns regarding the use and …
Interaction research community following accumulating concerns regarding the use and …