Moral Dilemmas for Moral Machines

Moral dilemmas are being misused as validation tools for AI systems. The paper argues that researchers are inappropriately using philosophical thought experiments like the trolley problem to test and validate autonomous vehicle decision-making algorithms, which represents a fundamental misunderstanding of how these philosophical tools should be applied.

Philosophical thought experiments serve a different purpose than AI testing. Moral dilemmas were designed to explore ethical theory and reasoning, not to generate practical decision-making rules that machines should follow in real-world situations—a critical distinction the field has overlooked.

This misapplication could have serious real-world consequences. By relying on trolley-problem-style scenarios to program autonomous vehicles, developers may be creating systems with flawed ethical frameworks that could lead to harmful outcomes when deployed in actual traffic situations.

There are legitimate uses of moral dilemmas in machine ethics. The paper acknowledges that moral dilemmas can appropriately inform AI ethics research when used correctly, particularly in helping researchers think through ethical principles rather than as direct decision-making templates.

Machine learning contexts can actually advance philosophical ethics. The novel situations that arise when trying to implement ethics in AI systems can provide new insights back to philosophers and ethicists, creating a productive two-way dialogue between the fields.