Recommender systems (RS) often leverage information about the similarity between items'
features to make recommendations. Yet, many commonly used similarity functions make …

Scholars and industry practitioners have debated how to best develop interventions for
ethical artificial intelligence (AI). Such interventions recommend that companies building and …

Older adults, compared to younger adults, focus on emotional well-being. While the lifespan
trajectory of emotional processing and its regulation has been characterized behaviorally, …

The ventromedial prefrontal cortex (vmPFC) plays a critical role in processing appetitive
stimuli. Recent investigations have shown that reward value signals in the vmPFC can be …

What happens to others profoundly influences our own behavior. Such other-regarding
outcomes can drive observational learning, as well as motivate cooperation, charity, empathy, …

Simulation has emerged as a popular method to study the long-term societal consequences
of recommender systems. This approach allows researchers to specify their theoretical …

A significant share of political discourse occurs online on social media platforms. Policymakers
and researchers try to understand the role of social media design in shaping the quality …

Fashion is a unique domain for developing recommender systems (RS). Personalization is
critical to fashion users. As a result, highly accurate recommendations are not sufficient …

Human-centered artificial intelligence (AI) posits that machine learning and AI should be
developed and applied in a socially aware way. In this article, we argue that qualitative analysis …

The emerging field of “AI safety” has attracted public attention and large infusions of capital
to support its implied promise: the ability to deploy advanced artificial intelligence (AI) while …