EU policymakers must find answers to pressing questions: if technology has a negative impact on labour income, how will the welfare state be funded? How can workers’ welfare rights be adequately secured? A team of Bruegel scholars, with the support of the Mastercard Center for Inclusive Growth, has taken on these questions.
In the following article, Scott Marcus first considers the sources of potential defects and what might be done to redress them. He then goes on to consider what constitutes a product defect as well as the associated liability in light of recent (and potential future) EU Directives.
Machine learning and artificial intelligence (AI) systems are rapidly being adopted across the economy and society. Early excitement about the benefits of these systems has begun to be tempered by concerns about the risks that they introduce.
Machine learning (ML), together with artificial intelligence (AI), is a hot topic. Economists have been looking into machine learning applications not only to obtain better prediction, but also for policy targeting. We review some of the contributions.
Technological development, and in particular digitalisation, has major implications for labour markets. Assessing its impact will be crucial for developing policies that promote efficient labour markets for the benefit of workers, employers and societies as a whole.
In theory, robots can directly displace workers from performing specific tasks (displacement effect). But they can also expand labour demand through the efficiencies they bring to industrial production (productivity effect). This working paper adopts the local labour market equilibrium approach developed by Acemoglu and Restrepo to assess which effects dominate and the impact of robots on wage growth and employment rate in Europe.
This event looked at the impact of robotics and artificial intelligence on employment, wages and EU economic policy.
The author looks at how concentrated corporate R&D is in Europe, compared with sales and employment. The US and China are more likely to produce new R&D leaders that take over some of the top positions from incumbent R&D leaders. How is the EU coping with technology shifts and creating the next generation of new leading firms?
While it is always tempting to try to predict future patterns in the automation of European industries, it is also insightful to assess key dimensions of their robotisation so far, starting from the pre-AI era. This article presents evidence on the use of industrial robots by European industries from 1993 and onwards.
The price of bitcoin has just passed $11,000. A year ago it was worth less than $800. Economists and commentators are thus increasingly concerned that this may be a bubble waiting to burst. We review recent opinions on the topic.
Artificial intelligence is already transforming the world of work, but the future is hard to predict. Some see most jobs at risk of automatisation, while others argue robots will only take on a narrow range of tasks in the coming decades. Nevertheless, we need a broad debate to prepare the appropriate economic policy response to the new industrial revolution.
Artificial intelligence is much talked about, but what exactly is it? Georgios Petropoulos explores the origins, methods and potential of machine learning.