PRESENTERS
- Giovanni Melina, Deputy Division Chief of the Structural and Climate Policy Division of the IMF's Research Department
- Marina Mendes Tavares, Economist in the Structural and Climate Policy Division of the IMF’s Research Department
PANELISTS
- Ajay Shah, Senior Research Fellow and co-Founder, XKDR Forum in Mumbai
- Louise Fox, Nonresident Senior Fellow in the Africa Growth Initiative of the Global Economy and Development Program at Brookings
MODERATOR
Shekhar Shah, Non-resident Fellow, Center for Global Development
Artificial intelligence (AI) has the potential to profoundly impact the global economy. That impact could be beneficial: boosting productivity, growth, and incomes while also improving health and wellbeing. Yet, its disruptive power also carries risks, including deep-fakes, displaced workers, and growing income and wealth inequalities within and across countries. Generative AI models and applications are evolving rapidly, making it difficult to predict the impact they will have.
What are useful ways to think about AI’s impact on jobs across and within countries? How should developing countries craft policies and promote worker skills, digital infrastructure, and regulation to realize AI’s potential and minimize its risks? How well prepared are developing countries to do this? The IMF’s recent report on AI’s impact on the future of work will kick-off the discussion of these questions, followed by a dialogue with panelists on AI’s impact on labor markets and workers in emerging market and developing countries.
