Co-Creation with AI

Definition

Co-Creation with AI examines co-creation with ai within the broader domain of how AI changes ideation, judgement, authorship, skill and creative dependence.

Why this matters

Co-Creation with AI can materially affect human agency, capability, belonging, livelihoods, culture, trust, resilience and long-term societal outcomes.

Research questions

Under which conditions does co-creation with ai improve human and system outcomes, how do effects vary across populations and contexts, and what safeguards prevent dependency, exclusion, distortion or loss of agency?

Hypotheses

A transparent, participatory and human-directed approach to co-creation with ai, with explicit safeguards and longitudinal evaluation, will improve creative novelty; usefulness; diversity; creator control; skill growth; attribution; dependence; satisfaction compared with opaque, automation-first or short-term approaches.

Proposed methods

controlled creative tasks; longitudinal portfolio analysis; expert and audience review; process tracing; co-design; dependency testing; literature and policy review; expert and affected-user interviews; reproducibility testing; methods adapted specifically to Co-Creation with AI

Stakeholders and beneficiaries

creators; cultural custodians; communities; educators; researchers; publishers; platforms; collecting societies; libraries; archives; museums; regulators; funders