Making inferences from behaviour to cognition is problematic due to a many-to-one mapping
problem, in which any one behaviour can be generated by multiple possible cognitive …

Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for
research efforts on AI safety and AI governance. While this is generally considered to be an …

Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

The progress of some AI paradigms such as deep learning is said to be linked to an
exponential growth in the number of parameters. There are many studies corroborating …

In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on
occupations. This framework maps 59 generic tasks from worker surveys and an …

AI is already being applied in and impacting many important sectors in society, including
healthcare, finance, and policing. As investment into AI research continues, we are likely to …

In this paper we outline a proposal for improving the governance of artificial intelligence (AI)
by investing in government capacity to systematically measure and monitor the capabilities …

The widespread use of experimental benchmarks in AI research has created competition
and collaboration dynamics that are still poorly understood. Here we provide an innovative …

Artificial intelligence technologies are receiving high levels of attention and 'hype', leading to
a range of speculation about futures in which such technologies, and their successors, are …

In this paper we present a setting for examining the relation be-tween the distribution of
research intensity in AI research and the relevance for a range of work tasks (and …