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.
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Scoping review of 23 papers finds fairness in multi-agent AI systems is addressed superficially without robust norms or attention to autonomy and interactions, recommending structural embedding with human oversight.
Participatory AI approaches in forced displacement settings risk 'participation washing' due to entrenched power dynamics between aid recipients, providers, donors, and host nations, requiring independent governance structures.
citing papers explorer
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The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers
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.
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Where are the Humans? A Scoping Review of Fairness in Multi-agent AI Systems
Scoping review of 23 papers finds fairness in multi-agent AI systems is addressed superficially without robust norms or attention to autonomy and interactions, recommending structural embedding with human oversight.
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From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises
Participatory AI approaches in forced displacement settings risk 'participation washing' due to entrenched power dynamics between aid recipients, providers, donors, and host nations, requiring independent governance structures.