OECD Award to research how AI is impacting labour markets
Nik Dawson has won a prestigious OECD Future of Work Fellowship to continue his research examining the impacts of Artificial Intelligence (AI) on Australia’s labour market.
All industries are moving closer to AI, but at varying rates. As AI adoption accelerates, labour tasks are more likely to be automated or augmented. Therefore, workers will need to transition between jobs and acquire new skills to meet new labour demands.
THE OECD (Organisation for Economic Co-operation and Development) is about ‘better policies for better lives’. It collates and applies evidence-based research to establish international standards for social economic and environmental challenges, such as digital disruption.
The Fellowship aims to promote new and innovative (post-) doctoral research in social sciences including economics, statistics, sociology to help policy makers across the 36 OECD countries respond to current and emerging labour issues. Members are facing how technology is shaping workplaces and workforces, and how to minimise negative impacts on individuals and communities, industries and trades.
Nik and the other two 2020 Fellows – Baobao Zhang, Massachusetts Institute of Technology and Mathilde Munoz, Paris School of Economics will determine
- megatrends affecting labour markets and their impact on job quantity and quality, and more broadly on inequality, productivity and growth; and
- how to link those impacts to challenges for government in social protection, skills, active labour market programs and regulationThis work is essential in exploring innovative policy tools that can help governments address challenges head on.
Nik will develop a methodology to measure longitudinal similarities between sets of skills from real-time job ads data, which will be applied for two purposes.
By measuring similarities between a set of top AI skills and sets of top skills described from 19 standardised industries in Australia and New Zealand, we can create a leading indicator of AI adoption.
The second purpose is to help identify transition paths and how people can use/adapt/acquire specific skills for in-demand roles.
Nik has previously worked with the UN in Geneva on a project promoting public discussion and understanding of the impacts of AI on labour markets, and the potential may have on labour markets and economic inequality. Follow his activities on his blog