artificial intelligence

Read article Download PDF More on this topic

Blueprint

Digitalisation and European welfare states

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.

By: Georgios Petropoulos, J. Scott Marcus, Nicolas Moës and Enrico Bergamini Topic: Innovation & Competition Policy Date: July 9, 2019
Read article More on this topic More by this author

External Publication

Liability: When Things Go Wrong in an Increasingly Interconnected and Autonomous World: A European View

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.

By: J. Scott Marcus Topic: Innovation & Competition Policy Date: June 6, 2019
Read article More on this topic

Blog Post

Ethics and artificial intelligence

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.

By: Valerie Frissen, Gerhard Lakemeyer and Georgios Petropoulos Topic: Innovation & Competition Policy Date: December 21, 2018
Read article More on this topic More by this author

Blog Post

Machine learning and economics

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.

By: Silvia Merler Topic: Innovation & Competition Policy Date: November 29, 2018
Read article Download PDF More on this topic More by this author

External Publication

The impact of artificial intelligence on employment

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.

By: Georgios Petropoulos Topic: Innovation & Competition Policy Date: July 31, 2018
Read article Download PDF More on this topic

Working Paper

The impact of industrial robots on EU employment and wages: A local labour market approach

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.

By: Francesco Chiacchio, Georgios Petropoulos and David Pichler Topic: Innovation & Competition Policy Date: April 18, 2018
Read about event More on this topic

Past Event

Past Event

Robots and artificial intelligence: The next frontier for employment and EU economic policy

This event looked at the impact of robotics and artificial intelligence on employment, wages and EU economic policy.

Speakers: Pat Bajari, Julia Bock-Schappelwein, Anna Byhovskaya, Paola Maniga, Mario Mariniello, Clara Neppel, Loukas Stemitsiotis, Georgios Petropoulos and Barry O’Sullivan Topic: Innovation & Competition Policy Location: Bruegel, Rue de la Charité 33, 1210 Brussels Date: April 18, 2018
Read article Download PDF More on this topic More by this author

Policy Contribution

Are European firms falling behind in the global corporate research race?

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?

By: Reinhilde Veugelers Topic: Innovation & Competition Policy Date: April 12, 2018
Read article More on this topic More by this author

Blog Post

The growing presence of robots in EU industries

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.

By: Georgios Petropoulos Topic: Innovation & Competition Policy Date: December 20, 2017
Read article More by this author

Blog Post

The Bitcoin Bubble

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.

By: Silvia Merler Topic: Finance & Financial Regulation, Global Economics & Governance Date: December 4, 2017
Read article More on this topic More by this author

Blog Post

Do we understand the impact of artificial intelligence on employment?

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.

By: Georgios Petropoulos Topic: Innovation & Competition Policy Date: April 27, 2017
Read article More on this topic More by this author

Blog Post

Machines that learn to do, and do to learn: What is artificial intelligence?

Artificial intelligence is much talked about, but what exactly is it? Georgios Petropoulos explores the origins, methods and potential of machine learning.

By: Georgios Petropoulos Topic: Innovation & Competition Policy Date: April 6, 2017
Load more posts