Let’s jump 50 years into the future: everyone has self-driving cars now, and oh man they are cool. After class, you take a relaxing ride back to your house in your self-driving car, but on the way home your car’s brakes fail! With an intersection quickly approaching, and no foreseeable way to save everyone in this scenario, your car has a very important decision to make.
Your car can either:
A. Continue through the intersection, saving yourself, but killing one street-crossing pedestrian.
B. Swerve into a barrier, saving the pedestrian, but killing you, the passenger.
Your car can either:
A. Continue through the intersection, saving yourself, but killing one street-crossing pedestrian.
B. Swerve into a barrier, saving the pedestrian, but killing you, the passenger.
As the passenger in this scenario, what would you want your car to do?
Personally, I would want my self-driving car to save itself and its owner, killing the pedestrian in this scenario. But what if the pedestrian was a child? Or a homeless person? Or a doctor? Or what if there are three pedestrians? What about the scenario shown below?
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| 5 people are inside the car, 5 people are in the crosswalk, the pedestrians are illegally crossing the street on a red signal. |
This is the problem that researchers at MIT set out to solve in 2016, and they ended up creating the Moral Machine, an online experiment that was designed to create a human foundation for moral decision-making in autonomous vehicles. Since the release of the Moral Machine onto the internet, over 40 million decisions have been recorded in ten languages from people in 233 countries and regions. Using machine learning, MIT’s Moral Machine has now formed a strong basis on which to make educated, ethical decisions about who lives and who dies. I highly recommend heading to the Moral Machine website and judging a full set of 13 scenarios. At the end, the machine will output an in depth breakdown of your decision-making preferences. Here’s my report, comment your report links below!

