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The advancement of artificial intelligence has intensified the focus on machine moral decision-making. This article delves into the Moral Machine experiment, a platform addressing ethical dilemmas self-driving cars face. This study seeks to illuminate the intricacies of the moral dilemmas faced by autonomous systems and the potential implications for the broader landscape of AI ethics. The study aims to uncover essential principles for machine ethics by exploring global perspectives on these moral quandaries. The results reveal shared preferences for sparing humans, saving more lives, and prioritizing young lives. However, cultural clusters exhibit diverse preferences, emphasizing the complexity of cross-cultural moral choices. This article analyzes personal, social, country-level, and cultural predictors contributing to these variations. Ultimately, it underscores the challenge of establishing universal moral rules for AI and encourages moral thinking in navigating real-world challenges.
Yukai Qiao (Sat,) studied this question.