This paper examines the profound challenges that transformative advances in AI towards
Artificial General Intelligence (AGI) will pose for economists and economic policymakers. I …

This article argues that frontier artificial intelligence (AI) developers need an internal audit
function. First, it describes the role of internal audit in corporate governance: internal audit …

In recent decades, the integration of artificial intelligence (AI) into health care has
revolutionized diagnostics, treatment customization, and delivery. In low-resource settings …

The accelerating development and deployment of AI technologies depend on the continued
ability to scale their infrastructure. This has implied increasing amounts of monetary …

We present a quantitative model for tracking dangerous AI capabilities over time. Our goal is
to help the policy and research community visualise how dangerous capability testing can …

Emergent technologies such as solar power, electric vehicles, and artificial intelligence (AI)
often exhibit exponential or power function price declines and various``S-curves''of adoption …

The rapid growth of artificial intelligence (AI), particularly Large Language Models (LLMs),
has raised concerns regarding its global environmental impact that extends beyond …

Larger training runs and widespread deployment of future artificial intelligence (AI) systems
may demand a rapid scale-up of computational resources (compute) that require …

Data centers increasingly depend on Operational Data Analytics (ODA) for real-time insights
from vast streams of telemetry data generated by IoT devices. Effective ODA enables …