Repeated interaction with deontologically or utilitarian-programmed LLMs caused lasting shifts in human moral inclinations and policy attitudes toward the embedded principles.
Combining Human and Artificial Intelligence: Hybrid Problem-Solving in Organizations,
3 Pith papers cite this work. Polarity classification is still indexing.
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Secondary bounded rationality describes how AI recruitment algorithms reproduce structural inequality by optimizing for biased proxies of competence drawn from cultural and social capital disparities.
Empirical comparison shows smaller open-weight LLMs achieve strong performance on everyday work tasks, supporting task-aware selection over always using the largest models for sustainability and cost reasons.
citing papers explorer
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Morally Programmed LLMs Reshape Human Morality
Repeated interaction with deontologically or utilitarian-programmed LLMs caused lasting shifts in human moral inclinations and policy attitudes toward the embedded principles.
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Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
Secondary bounded rationality describes how AI recruitment algorithms reproduce structural inequality by optimizing for biased proxies of competence drawn from cultural and social capital disparities.
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Sustainability via LLM Right-sizing
Empirical comparison shows smaller open-weight LLMs achieve strong performance on everyday work tasks, supporting task-aware selection over always using the largest models for sustainability and cost reasons.