In a Crash, Should Self-Driving Cars Save Passengers or Pedestrians? 2 Million People Weigh In (pbs.org) 535
The study's findings offer clues on how to ethically program driverless vehicles based on regional preferences, but the study also highlights underlying diversity issues in the tech industry -- namely that it leaves out voices in the developing world. The Moral Machine uses a quiz to give participants randomly generated sets of 13 questions. Each scenario has two choices: You save the car's passengers or you save the pedestrians. However, the characteristics of the passengers and pedestrians varied randomly -- including by gender, age, social status and physical fitness. What they found: The researchers identified three relatively universal preferences. On average, people wanted: to spare human lives over animals, save more lives over fewer, prioritize young people over old ones. When respondents' preferences did differ, they were highly correlated to cultural and economic differences between countries. For instance, people who were more tolerant of illegal jaywalking tended to be from countries with weaker governance, nations who had a large cultural distance from the U.S. and places that do not value individualism as highly. These distinct cultural preferences could dictate whether a jaywalking pedestrian deserves the same protection as pedestrians crossing the road legally in the event they're hit by a self-driving car. Further reading: The study; and MIT Technology Review.