Public blame accidents on drivers more than their automated cars when both make mistakes | 10/28/2019 | Staff
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The public are more likely to blame accidents involving semi-autonomous cars on driver—rather than machine—error, a new study has found.

An international research team, including Edmond Awad from the University of Exeter's Business School, has examined how the general public attribute blame in accidents involving self-driving cars.

Crashes - Car - Human - AI - Controls

It found that in crashes involving a car that has dual human and AI controls, the public presume that the machine is less accountable.

The study is published in the journal Nature Human Behaviour on Monday, October 28th 2019.

Pursuit - 'driverless - Cars - Goal - Manufacturers

While the pursuit of creating fully 'driverless' cars has been the goal for many manufacturers in recent years, they still remain some way off from coming to fruition.

Instead, manufacturers are developing semi-autonomous cars that can be controlled by both AI through an "autopilot" mode, and human drivers.

Developments - Step-change - Individuals - Control - Vehicles—and

These developments, however, mean a step-change from individuals having full control over their vehicles—and therefore bearing full responsibility for crashes—to a new system where blame and responsibility may be shared between a human and a machine.

For the study the research team, which also includes experts from the Massachusetts Institute of Technology, the University of British Columbia, Max-Planck Institute, Toulouse School of Economics, and Harvard University, asked members of the public to...
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