Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …

Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …

This article attempts to bridge the gap between widely discussed ethical principles of Human-
centered AI (HCAI) and practical steps for effective governance. Since HCAI systems are …

Abstract Human-Centered AI (HCAI) is a promising direction for designing AI systems that
support human self-efficacy, promote creativity, clarify responsibility, and facilitate social …

Many important transition points in the history of science have been moments when science
“zoomed in.” At these points, we develop a visualization or tool that allows us to see the …

Deep learning's great success motivates many practitioners and students to learn about this
exciting technology. However, it is often challenging for beginners to take their first step due …

With machine learning models being increasingly applied to various decision-making
scenarios, people have spent growing efforts to make machine learning models more …

Abstract Domain-specific intelligent systems are meant to help system users in their decision-
making process. Many systems aim to simultaneously support different users with varying …

Advances in language modeling have led to the development of deep attention-based
models that are performant across a wide variety of natural language processing (NLP) …

Despite the significant increase in cybersecurity solutions investment, organizations are still
plagued by security breaches, especially data breaches. As more organizations experience …