How can AI help us fight through a pandemic crisis?
From 2002 up to 2009, the economies of European Union countries went through a skill upgrading, rather than a polarisation between low-skill and high-skill jobs. After 2009, this changed, with declining real wages and a significant increase in the share of workers in low-skill jobs. This assessment evaluates these changes in connection with labour market variables, population densities and the emergence of machine learning and artificial intelligence.
The announcement of a large stimulus without a growth target indicates that China’s recovery is far from complete.
The new EU instrument to mitigate unemployment risks during an emergency (SURE) is too modest to have a significant impact the COVID-19 crisis beyond being a first step in the overall recovery plan.
This event will discuss SURE, a new European Union instrument for temporary ‘Support to mitigate Unemployment Risks in an Emergency'
At this event, the panellists will discuss the role of AI and big data in the fight against the coronavirus crisis.
Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads. The COVID-19 outbreak has triggered intense work on such applications, but it will take time before results become visible.
All available resources need to be brought to bear on the novel coronavirus COVID-19. To what extent can digital technology help? What risks are there in using big data to combat COVID-19, and what policies can mitigate any limitations that these risks impose?
The EU needs to invest in homegrown technology.
While the US and China have been setting the pace when it comes to Artificial Intelligence, the European Union seems to be lagging behind. What are the Commission's plans to finally catch up? Will AI increase the gap between big and small companies? This week, Nicholas Barrett is joined by Julia Anderson and Guntram Wolff to discuss the EU's plan for AI.
The bigger you are, the more data you can harvest. But does data accumulation necessarily breed monopolies in AI and related machine learning markets?
AI promises a new industrial revolution but history warns us that industrial revolutions aren't always that fun for people in the eye of the storm. This week, Nicholas Barrett and Maria Demertzis spoke with Dr. Carl Frey, author of the book "The technology trap: capital, labor, and power in the age of automation", and Robert D. Atkinson, President of Information Technology and Innovation Foundation (ITIF), about how artificial intelligence will affect the job market.