At a time when economics is giving intense scrutiny to the likely impact of artificial intelligence (AI) on the global economy, this paper suggests the two disciplines face a common problem when it comes to uncertainty. It is argued that, despite the enormous achievements of AI systems, it would...

Making decisions under uncertainty is at the core of human decision-making, particularly economic decision-making. In economics, a distinction is often made between quantifiable uncertainty (risk) and un-quantifiable uncertainty (Knight, Uncertainty and Profit, 1921). However, this distinction...

Macroeconomics must take radical uncertainty into account, if it aims at contributing to the solution of serious real-world problems such as climate change. Allowing for radical uncertainty must happen at two levels: the level of modeling and the level of the scientific discipline. I argue that...

The analysis of the conditions under which, and extent to which climate-adjusted financial risk assessment affects firms’ investment decisions in the low-carbon transition, and the realisation of the climate mitigation trajectories, still represent a knowledge gap. Filling this gap is crucial...

The analysis of the conditions under which, and extent to which climate-adjusted financial risk assessment affects firms' investment decisions in the low-carbon transition, and the realisation of the climate mitigation trajectories, still represent a knowledge gap. Filling this gap is crucial to...