Self-Driving Car Moral Choices from 233 Countries

Approximately 40 million moral choice responses related to self-driving car scenarios were collected globally. The data originates from a Kaggle platform and has been cleaned and sampled. The author, organization, and specific time range are unknown.

Use Cases

• Train ethical decision-making models based on global moral preference data.
• Analyze cross-cultural variations in ethical judgments related to autonomous vehicles.
• Benchmark AI alignment with human moral intuitions using the described choice scenarios.

Strengths

• Approximately 40 million individual moral choices provide a substantial sample size.
• Data covers responses from 233 countries, suggesting broad geographic coverage.
• The description mentions the data has been cleaned and sampled.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely collected via an online survey or simulation platform.

Geography

Global (233 countries)