the moral machine experiment

Question 1

Moral machine experiment

Answer 1

focuses on the moral challenges of Artificial Intelligence (AI), especially in driverless cars

Question 2

why is it a challenge to find out who the autonomous vehicle should prioritize in traffic?

Answer 2

1. cultural differences
2. complexity of preferences

Question 3

what were the global preferences

Answer 3

1. save humans over animals
2. same more lives over fewer lives
3. save younger people over older people

Question 4

explain with the example of Germany why it is still controversial

Answer 4

in Germany, rules for autonomous driving prohibit discrimination based on personal features like age, which conflicts with the preference for saving younger lives.

Question 5

were the results significant?

Answer 5

no

Question 6

explain the regional patterns

Answer 6

countries were grouped into clusters (western, eastern, southern), based on shared moral preferences. it revealed common values WITHIN regions but also differences BETWEEN regions

Question 7

four key predictors

Answer 7

1. Individualism vs. Collectivism:
   Individualistic cultures (Western countries): Focus on saving the greater number of lives,

Collectivistic cultures (Eastern countries): Focus on saving those who follow social norms (law-abiding pedestrians).

2. Respect for the Law:
   Countries with strong laws and governance (higher prosperity and law-abiding institutions):
   Show a greater preference for saving law-abiding pedestrians over jaywalkers.
3. Economic Inequality:
   In countries with high inequality, people from higher social status are often prioritized.
   o Southern countries, where inequality is higher, may show bias toward sparing wealthier individuals.
4. Gender Equality:
   The way countries treat males vs. females correlates with gender equality levels:
   Higher gender inequality: Countries are more likely to prioritize saving females.
   Lower gender inequality: Countries are more neutral regarding gender