The conceptual multiverse system with a verification framework for decision structures helps users in philosophy, AI alignment, and poetry build clearer working maps of open-ended problems by making implicit LLM choices explicit and changeable.
Biased AI writing assistants shift users’ attitudes on societal issues
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Agentivism defines learning as durable growth in human capability through selective AI delegation, epistemic monitoring and verification, reconstructive internalization of AI outputs, and transfer under reduced support.
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Navigating the Conceptual Multiverse
The conceptual multiverse system with a verification framework for decision structures helps users in philosophy, AI alignment, and poetry build clearer working maps of open-ended problems by making implicit LLM choices explicit and changeable.
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Agentivism: a learning theory for the age of artificial intelligence
Agentivism defines learning as durable growth in human capability through selective AI delegation, epistemic monitoring and verification, reconstructive internalization of AI outputs, and transfer under reduced support.