AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …

Collaborative problem-solving (CPS) is ubiquitous in everyday life, including work, family,
leisure activities, etc. With collaborations increasingly occurring remotely, next-generation …

Much prior work on creating social agents that assist users relies on preconceived
assumptions of what it means to be helpful. For example, it is common to assume that a …

Researchers have recently demonstrated that group performance across tasks tends to be
correlated, motivating the use of a single metric for the general collective intelligence of …

Recent breakthroughs in large language models (LLM) have stirred up global attention, and
the research has been accelerating non-stop since then. Philosophers and psychologists …

Modelling human behavior provides insight into the underlying decision making
mechanisms, allows evaluation of performance and provides a framework for replicat-ing the …

As a step towards studying human-agent collectives, we conduct an online game with
human participants cooperating on a network. The game is presented in the context of …

Evolving environments and a growing number of sources for data offer new and interesting
possibilities for studying the behaviour of individuals, groups and populations. This data …

As the world becomes increasingly digitally mediated, people can more and more easily
form groups, teams, and communities around shared interests and goals. Yet there is a …