AI assistance is not the same as learning
AI can improve performance while assistance is present without guaranteeing that the learner can later perform, explain, or transfer the skill independently.
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AI can improve performance while assistance is present without guaranteeing that the learner can later perform, explain, or transfer the skill independently.
A task or occupation can be highly exposed to generative AI without that exposure translating directly into elimination of the whole job.
A 2025 PNAS field experiment showing that unrestricted GPT-4 access improved assisted practice performance but reduced later unaided performance, while tutor guardrails largely mitigated the harm.
A 2025 randomized crossover study in introductory college physics reporting higher short-term learning gains and engagement with a carefully scaffolded AI tutor.
An ILO working paper estimating occupational exposure to generative AI at task level and finding job transformation more likely than full replacement for most exposed occupations.
A NIST cross-sector profile for identifying, measuring, governing, and managing risks specific to generative AI systems.
As AI systems receive broader authority and operate for longer periods, evaluation, bounded permissions, monitoring, recovery, and human accountability become part of the capability itself.