AI sparks hope and fear
AMERICANS are torn over the promise of artificial intelligence, a new poll showed, expressing broad optimism about the emerging technologies but also fearing their negative impacts – including job losses.
The Gallup survey showed 79% say AI has had a “mostly positive” or “very positive” impact on their lives thus far.
At the same time, 73% said they expect the increased use of AI will eliminate more jobs than it creates and 63% predicted that new technologies and smart machines would widen the gap between rich and poor.
Asked about autonomous vehicles, 42% of respondents said they would be “extremely uncomfortable” riding in a self-driving car and 62% would be concerned about sharing the road with self-driving trucks. “In general it’s fair to say there is optimism and also anxiety,” said Brandon Busteed of Gallup, which conducted the survey with Northeastern University. The survey sought to highlight the need for changes in education to deal with the changing technology landscape, said Northeastern president Joseph Aoun.
“The AI revolution is an opportunity for us to reimagine higher education – to transform both what and how we teach,” Aoun said.
“The answer to greater AI is greater human intelligence.”
The survey showed blue-collar workers to be more concerned than those in white-collar
professions about the impact of automation on jobs. And just 34% of blue-collar respondents felt confident they could obtain the necessary training if they did lose their job.
The World economic Forum estimates that new technology could affect 1.4 million jobs in the United States alone by 2026.
Some technology leaders including Facebook founder Mark Zuckerberg have floated the idea of a universal basic income to support people who lose their jobs to new technologies. But the survey showed that a narrow majority of 52% oppose the notion of a basic income to remedy the adverse effects of technology.
The report was based on a mailed survey of 3,297 American adults in September and October 2017, with an estimated margin of error of two percentage points. — AFP