An emerging body of research indicates that ineffective cross-functional collaboration–the
interdisciplinary work done by industry practitioners across roles–represents a major barrier …

As our physical environments become ever-more connected, instrumented, and automated,
it can be increasingly difficult for users to understand what is happening within them and …

In the context of the rise of algorithmic decision-making (ADM) systems, social scoring
systems are particularly controversial. They aim to encourage socially desirable behaviors …

Trust between humans and AI in the context of decision-making has acquired an important
role in public policy, research and industry. In this context, Human-AI Trust has often been …

Information access systems, such as Google News or YouTube, increasingly employ
algorithms to rank diverse content such as music, recipes, and news articles. Acknowledging …

Policymakers have established that the ability to contest decisions made by or with
algorithms is core to responsible artificial intelligence (AI). However, there has been a …

The rising adoption of learning analytics and academic performance prediction technologies
in higher education highlights the urgent need for transparency and explainability. This …

With the advent of artificial intelligence (AI) based systems, a new era has begun. Decisions
that were once made by humans are now increasingly being made by these advanced …

Many call for algorithmic systems to be more transparent, yet it is often unclear for designers
how to do so in practice. Standards are emerging that aim to support designers in building …

Algorithms used in data analytics (DA) tools, particularly in high‐stakes contexts such as
hiring and promotion, may yield unfair recommendations that deviate from merit‐based …