pith:GKXYXZC6
The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers
People judge AI systems and their designers more deontologically than human actors in the same situations.
arxiv:2604.24155 v3 · 2026-04-27 · cs.CY · cs.AI · cs.HC
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Claims
Participants exhibited markedly more deontological, rule-based reasoning when evaluating either the programmed robot or the engineers who programmed it, suggesting that rendering human agency visible activates heightened moral constraints. These findings indicate that people may evaluate humans, AI systems acting in the same situation, and the humans who design them in meaningfully different ways.
That moral judgments elicited by responses to this specific hypothetical runaway mine train scenario are representative of the normative targets that should guide AI behavior in real high-stakes deployment contexts.
Moral judgments become more deontological when human design of AI is visible, and designers are judged more strictly than the AI or unaided humans, creating plural and non-converging targets for value alignment.
Receipt and verification
| First computed | 2026-06-29T01:14:32.409066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GKXYXZC6BWE6BZ3GLNTPXVRZ56 \
| jq -c '.canonical_record' \
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Canonical record JSON
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