Welcome to the future home of the MIT WorldSML (Suitability for Machine Learning) Application.

The WorldSML application, based on research led by MIT Professor Erik Brynjolfsson, Director of the MIT Initiative on the Digital Economy, CMU Professor Tom Mitchell, Dr. Daniel Rock, Dr. Sarah Bana, Dr. Morgan Frank, and Professor Iyad Rahwan of the Max Planck Institute, will launch in spring 2020. The online tool will be accessible to anyone in the world for free, providing country-level data on occupation-specific suitability for machine learning. Each country profile includes a list of occupations with the highest and lowest suitability for machine learning based on the tasks involved in each occupation. These data have been applied initially to 50 countries around the world, with the aim of ongoing updates to include additional countries, as country-level labor data allow. The application will help illustrate the capabilities and current limitations of various types of machine learning, and what machine learning could mean for the workforce and the economy. Learn more here.

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