Co-creative AI needs shared concepts about the world
Claim
Co-creative AI works better when human and machine models are grounded in shared world concepts that make collaboration more instructable, aligned, and sensitive to human values.
Stance
Supported by the source articles as an AI-in-education claim.
Evidence
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The Grounding Problem and Co-Creative AI supports this claim through its discussion of AI use, evaluation, implementation, learning, or literacy in context.
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The Grounding Problem and Co-Creative AI supports this claim through its discussion of indirect but useful for advanced AI literacy, computational creativity, design learning, co-creative tools, and discussions of alignment and meaning-making.
Practical implication
Advanced AI literacy should treat human meaning, values, and grounding as design concerns for co-creative systems, not as optional add-ons after generation.