Storytelling with AI

Definition

Storytelling with AI examines storytelling with ai within the broader domain of how people and communities create identity, purpose and shared meaning through stories.

Why this matters

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

Research questions

Under which conditions does storytelling 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 storytelling with ai, with explicit safeguards and longitudinal evaluation, will improve narrative coherence; authenticity; agency; meaning; memory accuracy; audience understanding; manipulation resistance compared with opaque, automation-first or short-term approaches.

Proposed methods

narrative analysis; interviews; longitudinal biography studies; controlled storytelling tasks; audience interpretation; manipulation testing; literature and policy review; expert and affected-user interviews; reproducibility testing; methods adapted specifically to Storytelling with AI

Stakeholders and beneficiaries

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