Artificial intelligence (AI) and algorithmic decision making are having a profound impact on
our daily lives. These systems are vastly used in different high-stakes applications like …

Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …

This survey reviews explainability methods for vision-based self-driving systems trained with
behavior cloning. The concept of explainability has several facets and the need for …

Abstract Machine-learning-based systems are now part of a wide array of real-world
applications seamlessly embedded in the social realm. In the wake of this realization, strict …

Artificial intelligence (AI) has become part of our everyday lives, and its presence and
influence are expected to grow exponentially. Regardless of its expanding impact, the …

As deep learning models are increasingly used in safety-critical applications, explainability
and trustworthiness become major concerns. For simple images, such as low-resolution face …

Algorithmic decision support systems are widely applied in domains ranging from healthcare
to journalism. To ensure that these systems are fair and accountable, it is essential that …

In this era of active development of autonomous vehicles, it becomes crucial to provide
driving systems with the capacity to explain their decisions. In this work, we focus on …

To tackle interpretability in deep learning, we present a novel framework to jointly learn a
predictive model and its associated interpretation model. The interpreter provides both local …