Stanford researcher on the AI skills gap and the dangers of exponential innovation
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“We created the Digital Economy Lab because, as much as I’m blown away by these technologies, the bottleneck is our human response,” he says. “What will we do about the economy, jobs and ethics? How will we transform organisations that aren’t changing nearly fast enough? I want to speed up our response.”
Brynjolfsson spoke passionately about this subject at Davos in a session entitled “AI and white-collar jobs”. In it, he advised companies to adopt technology in a controlled manner. Offering a historical analogy, he pointed out that, when electricity infrastructure became available about a century ago, it took at least three decades for most firms to fully realise the productivity gain it offered because they first needed to revamp their workplaces to make the best use of it.
“We’re in a similar period with AI,” Brynjolfsson told delegates. “What AI is doing is affecting job quality and how we do the work. So we must address to what extent we keep humans in the loop rather than focus on driving down wages.”
Why AI will create winners and losers
The risk of technology racing too far ahead of humanity for comfort is a familiar topic for Brynjolfsson. In both Race Against the Machine (2011) and The Second Machine Age (2014), he and his co-author, MIT scientist Andrew McAfee, called for greater efforts to update organisations, processes and skills.
... “When we wrote those books, we were optimistic about the pace of technological change and pessimistic about our ability to adapt,” Brynjolfsson says. “It turns out that we weren’t optimistic enough about the technology or pessimistic enough about our institutions and skills.” ...
Brynjolfsson commends an alternative route, which has been taken by the Toyota Research Institute, among others. When he was in Davos, the institute’s CEO, Dr Gill Pratt “told me how his team has flipped things around so that the autonomous system is used as the guardian angel. Creating a self-driving car that works in all possible conditions is tough, but humans can handle those exceptions.” ...
See the full story here: https://www.raconteur.net/future-of-work/stanford-researcher-ai-skills-gap-innovation/
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