Workforce needs better training, support policies to meet demand
Could Jill Watson be the typical graduate assistant of the future? Watson was Georgia Tech’s first AI teaching assistant that fooled some in the computer science class into thinking the assistant they were dealing with in an online forum was human. New methods of teaching and training are being explored to handle the growing needs of filling middle-skilled jobs, according to several recently released reports. A new report from the Pew Research Center focuses on whether workers will be able to compete with artificial intelligence tools and whether capitalism itself will survive. Two other reports released last month by the National Skills Coalition stress workforce training through work-based learning policy and surveys all the states for the effectiveness of such programs, and provides policy recommendations by revisiting a November report. The new Pew report, The Future of Jobs and Jobs Training, begins by asserting that “massive numbers of jobs are at risk” as smart, autonomous systems continue to infiltrate the workplace. Solutions evolving from conversations surrounding the topic include changes in educational learning environments to help people stay employable in the future, the report says.