Embracing Complexity in the Future of Work

Photo by Richard Clyborne of Music Strive

Photo by Richard Clyborne of Music Strive

Postdoc Morgan Frank discusses research and ideas about the future of work. He’s interested in the latest technology such as machine learning, computer vision, and natural language processing that represent the new frontiers of innovation and entrepreneurialism. Morgan asks the question not of the opportunities these technologies will create but for whom. Stating that Artificial Intelligence will only create more of an income inequality gap, he proposes to provide opportunities among the classes without inhibiting innovation. One of the ways he is thinking through this solution is by identifying the skills necessary for workers to participate in the future and advancement of work.

By displaying a few examples and tools, he believes we can use this new level of insight these tools create a new framework that will give us a better forecast of the future of work and provide new tools to policy makers and workers who are trying to navigate their careers. Morgan also thinks it will open up new possibilities to consider input data for real time trends in people’s skills and the way people advertise skill requirements for employment opportunities as well as considering new estimates for which technology is maturing in the foreseeable future. He thinks this type of insight has many use cases to determine economic resilience in cities, helping firms prepare for investment in IT, and helping workers prepare for the future of work.

Watch the full presentation below.