Annual Conference of the Future of Work and Inclusive Growth project
Transparency over systems and algorithms, rules and public awareness are needed to address potential danger of manipulation by artificial intelligence.
In this working paper, the authors investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe.
An end of year series of digital discussions on the Future of Work and Inclusive Growth in Europe.
Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.
To accelerate the roll-out of AI technology across the European Union, policymakers should alleviate constraints to adoption faced by firms, both in the environmental context and in the technological context.
Technology may not have a significant negative impact on the quantity of jobs available to humans, but it certainly transforms them, changing how jobs are performed, with implications for workers’ quality of life and for productivity. Hence the focus shifts from a quantitative to a qualitative perspective.
Online job postings indicate that demand from top tech firms for frontier IT skills is about double their demand for other IT skills. This could indicate increasing concentration of skills in a few firms, with other firms left behind.
Employers and artificial intelligence developers should ensure new technologies work for workers by making them trustworthy, easy to use and valuable in day-to-day work.
Algorithmic management is the twenty-first century’s scientific management. Job quality measures should be included explicitly in health and safety risk assessments for workplace artificial-intelligence systems.
What role should the EU play in the regulation of AI?
What makes one vision more desirable than another is not its neutrality, but whether it can better serve one’s goals in the context of where those goals are being pursued.