What role should the EU play in the regulation of AI?
Workers with low-educational levels suffered far worse than others in terms of COVID-19 related job losses during the first half of 2020 in the EU. Jobs for tertiary-educated workers even increased. Thus, the pandemic has increased income inequality, reinforcing the case for inclusive development.
In-depth briefing and analysis on the issues of digital trade and the geopolitics of trade provided to the European Parliament.
A job polarisation trend has seen relatively more workers in the European Union employed in skilled and unskilled jobs, while mid-skilled jobs have been squeezed. Since the Great Recession, the supply of university graduates has risen, but the labour market’s demand for skills has not kept up. Graduates have, however, fared better than less-educated workers in terms of wages.
How severe is Europe’s dearth of AI talent and how does it compare to the United States, China and the United Kingdom – the world’s AI champions?
Artificial intelligence and machine learning will significantly transform low-skilled jobs that have not yet been negatively affected by past technological change.
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.
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.