Communications of the ACM
AI Talent Pipeline Clogged by Education Programs Slow or nable to Change
Should schools revamp existing programs for topics like AI, or are new research areas required?
From universities to public elementary schools, questions about technology's role in the education system have risen as countries grapple with the digital future. Some experts have criticized university curricula for lacking agility. Many programs haven't been updated in years even though the technology refresh cycle is happening at a faster pace.
It's harder to change academic programs when a lot of people have a stake in it, according to David Luebke, VP of graphics research at Nvidia, moderating a panel at the GPU Technology Conference this week. Changing the basic computer science curriculum, for example, is difficult because it underpins or ties too many other fields of study.
Carnegie Mellon University has tried to make its programs more flexible while still serving the larger university, said Howie Choset, robotics professor at CMU. The university recently launched an artificial intelligence major rather than opting to revamp the entire computer science program.
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