Available but Unclaimed: An Empirical Study of Human-AI Synergy
Evaluating LLMs in interaction with humans and designing support for selective deference that preserves independent reasoning motivate evaluating LLMs in interaction with humans.
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Evaluating LLMs in interaction with humans and designing support for selective deference that preserves independent reasoning motivate evaluating LLMs in interaction with humans.
The extent to which interactions with GAI enhance learning effectiveness and possible moderators, what challenges learners face when interacting with GAI systems, and which interventions support successful learner-GAI interaction are examined.
The AIRIS architecture is a multi-level control allocation architecture specifying the conditions under which epistemic agency can be preserved in hybrid generative systems, reframing AI augmentation as a problem of control allocation in distributed generative systems.
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