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Survey: People Don’t Trust Self-Driving Vehicles

October 27, 2018

UNITED STATES – OCTOBER 23, 2018 ( Results of a recent survey show members of the public have little trust for self-driving cars. The survey results are reported by venturebeat.*

PSB Research and Intel released results from a survey asking participants about self-driving cars and their perceptions of autonomous technology as it had developed. In the survey, 46 percent of respondents said they did not feel safe around self-driving vehicles. Only 21 percent of respondents said they would be willing to trade in their cars today for an autonomous vehicle. 

The drop in support and perceived mistrust of self-driving cars can be attributed in part to several high-profile accidents involving autonomous vehicle technology that have occurred in the United States in 2018. In March 2018, an Arizona pedestrian died after she was struck by a self-driving Uber vehicle, and a California man died when his Tesla crashed into a highway barrier while in Autopilot mode. The two incidents prompted serious public concern about the safety of autonomous vehicles.

Some experts in the industry believe that 33 million self-driving vehicles will be on the road by the year 2040. And while the majority of the survey participants also said they believed self-driving vehicles would be the norm in about 50 years (63 percent) and were comfortable with semi-autonomous safety features, they largely expressed distrust of fully autonomous vehicles as they appear today. Developers are trying to tackle this issue and understand how they can earn public confidence.

“We must bridge the gap between acceptance of today’s automated driving assist features and full autonomy,” said Jack Weast, senior principal engineer for Intel and vice president of AV standard at Mobileye. “Today, passengers are asked to blindly trust a manufacturer’s ‘black box’ safety approach. What is needed is for the industry and policymakers to rally around a transparent safety model that builds trust between humans and machines.” 

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Category: Auto Accidents

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