Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Machine learning (ML) has become a core feature for today's real-world applications,
making it a trending topic for the software engineering community. Requirements …

Contribution: A novel undergraduate course design at the intersection of software
engineering (SE) and machine learning (ML) based on industry-reported challenges …

Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Human-Centered AI (HCAI) advocates the development of AI applications that are
trustworthy, usable, and based on human needs. While the conceptual foundations of HCAI …

Driving automation systems, including autonomous driving and advanced driver assistance,
are an important safety-critical domain. Such systems often incorporate perception systems …

Remarkable progress in the fields of machine learning (ML) and artificial intelligence (AI)
has led to an increased number of applications of (data-driven) AI systems for the partial or …

We identify and describe episodes of sensemaking around challenges in modern Artificial-
Intelligence (AI)-based systems development that emerged in projects carried out by IBM …