Autonomous vehicles and moral decisions : what do online communities think ?
In 2016, researchers at CNRS (JeanFrançois Bonnefon TSE – Toulouse Capitole University), MIT, Harvard University and the University of British Columbia launched the “Moral Machine” online platform to ask users about moral dilemmas facing us in the development of autonomous vehicles. The researchers gathered 40 million decisions from millions of web users worldwide. The results show global moral preferences that may guide decision makers and companies in the future. The analysis of this data was published in Nature.
This data identified three main moral criteria: saving the lives of humans over animals, saving the largest number of lives, and saving the lives of the youngest over those of older people. So the profiles saved the most often in the situations proposed by Moral Machine were babies in strollers, children, and pregnant women.
The Moral Machine Experiment. Edmond Awad, Sohan Dsouza, Richard Kim, Jonathan Schulz, Joseph Henrich, Azim Shariff, Jean-François Bonnefon, Iyad Rahwan. Nature, 2018.