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Artificial Intelligence and the Future of Work

Maastricht Summer School
Netherlands, Maastricht
Maastricht Summer School Netherlands, Bonnefantenstraat 2, 6211 KL Maastricht, The Netherlands
Tuition fee €799 one-time
More information

maastrichtsummerschool.nl 

Overview

Course Description
Over the past few decades, widespread diffusion of technologies has significantly transformed labour markets, occupational structures and employment dynamics. These technological developments have caused much angst, with fears that technology could end up entirely replacing humans. With its ‘human’ like capabilities the recent advances in artificial intelligence (AI) have furthered fears that human labour might become obsolete, with some predicting that 47% of jobs are at high risk of being automated in the coming decades. Yet, so far, human labour has not yet been replaced. Leaving us with many questions: Why are there still so many jobs? What is the future of work? What is AI and is it different than past technologies? Is AI a curse or a blessing for labour?
This course intends to familiarise students with the concepts and ideas of technological change that is feared to disrupt labour markets and provide knowledge on selected topics within the field of labour economics and the impact of AI. It will provide students with insights into the history of technological change, the impact it has had on labour markets, the standard tools and approaches used to analyse this interaction and provide strong analytical lenses to analyse current and future trends regarding changes in labour markets due to technological change.

Goals
Upon completion of this course, the participants:
• Get to know contributions in labour economics on technological change
• Understand the state of the art on the impact of AI on job & skills
• Discuss the past, present and future of technological change with reference to work
• Familiarize the theoretical and empirical tool kit to study the interaction between AI and labour markets

Recommended Literature
Academic articles

Teaching Methods
Lectures, discussions, work in subgroups, assignments/presentations

Assessment Methods
Attendance, participation, Group presentations

Course Coordinators
Nicholas Rounding
Pelin Ozgul

Not available for applying at the moment
Not available for applying at the moment