The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social
media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …

The design of content recommendation systems underpins many online platforms: social
media feeds, online news aggregators, and audio/video hosting websites all choose how …

Regulatory and sociological resistance to new market-driven technologies, particularly to
those that rely on collection and analysis of personal data, is prevalent even in cases where …

Prediction models have been widely adopted as the basis for decision-making in domains
as diverse as employment, education, lending, and health. Yet, few real world problems …

Consumer choices are increasingly mediated by algorithms, which use data on those past
choices to infer consumer preferences and then curate future choice sets. Behavioral …

More and more machine learning is applied to human behavior. Increasingly these
algorithms suffer from a hidden—but serious—problem. It arises because they often predict …

Recommendation has become a prominent area of research in the field of Information
Retrieval (IR). Evaluation is also a traditional research topic in this community. Motivated by …

Online content platforms commonly use engagement-based optimization when making
recommendations. This encourages content creators to invest in quality, but also rewards …

Inspired by significant technical advancements, a rapidly growing stream of research
explores human lay beliefs and reactions surrounding AI tools, which employ algorithms to …