The Moral Machine experiment, conducted by a team from MIT, Harvard, and other institutions, aimed to explore societal expectations about ethical principles that should guide machine behavior in morally charged situations, particularly in autonomous vehicles (AVs). The experiment collected 40 million decisions from over 2.3 million people in 233 countries, focusing on nine key moral preferences: sparing humans over animals, more lives, and young lives. The findings revealed strong global preferences for these three categories, with individual variations based on demographics but no significant impact on the overall preferences. Cross-cultural analysis identified three major clusters of countries with distinct moral preferences, influenced by cultural and economic factors. The study highlights the need for global consensus on ethical principles for AVs to ensure public acceptance and safety. The results suggest that while individual and national variations exist, they do not necessarily hinder the development of universal machine ethics. The experiment's data and methods provide a foundation for further research and policy-making in the field of artificial intelligence ethics.The Moral Machine experiment, conducted by a team from MIT, Harvard, and other institutions, aimed to explore societal expectations about ethical principles that should guide machine behavior in morally charged situations, particularly in autonomous vehicles (AVs). The experiment collected 40 million decisions from over 2.3 million people in 233 countries, focusing on nine key moral preferences: sparing humans over animals, more lives, and young lives. The findings revealed strong global preferences for these three categories, with individual variations based on demographics but no significant impact on the overall preferences. Cross-cultural analysis identified three major clusters of countries with distinct moral preferences, influenced by cultural and economic factors. The study highlights the need for global consensus on ethical principles for AVs to ensure public acceptance and safety. The results suggest that while individual and national variations exist, they do not necessarily hinder the development of universal machine ethics. The experiment's data and methods provide a foundation for further research and policy-making in the field of artificial intelligence ethics.