How causal structure, causal strength, and foreseeability affect moral judgments.

Area of Science:

• Cognitive Psychology
• Moral Psychology
• Causal Inference

Background:

• Moral responsibility is often contingent on an agent's causal contribution to an outcome.
• Causal analysis is fundamental to ethical theories and future action planning.
• Causal models possess properties like strength and structure that may influence moral judgments.

Purpose of the Study:

• To investigate how causal chain length, a structural feature, impacts moral evaluations of actions and agents.
• To determine if causal structure influences moral permissibility and responsibility for accidental harms.
• To understand the interplay between causal representations, mental state inferences, and moral judgments.

Main Methods:

• Three studies involving 2285 participants.
• Utilized a combination of vignette-based scenarios and causal learning paradigms.
• Manipulated the length of causal chains linking actions to accidental harms.

Main Results:

• Longer causal chains resulted in more lenient moral evaluations of both actions and agents.
• Harms were perceived as less likely and less foreseeable with increased causal distance.
• When likelihood and foreseeability were controlled, causal structure had minimal impact on moral judgments.

Conclusions:

• Causal structure significantly influences moral judgments, particularly for accidental harms.
• Perceived likelihood and foreseeability mediate the effect of causal chain length on moral evaluations.
• Moral judgments are tightly coupled with causal representations and mental state inferences, processed rationally.