Long-Term Coevolution

Definition

Long-Term Coevolution examines long-term coevolution within the broader domain of norms, roles, rights, control and long-term coevolution between humans and artificial agents.

Why this matters

Long-Term Coevolution can materially affect human agency, capability, belonging, livelihoods, culture, trust, resilience and long-term societal outcomes.

Research questions

Under which conditions does long-term coevolution 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 long-term coevolution, with explicit safeguards and longitudinal evaluation, will improve human control; trust calibration; dependency; cooperation; conflict; role clarity; safety; wellbeing compared with opaque, automation-first or short-term approaches.

Proposed methods

controlled human-agent studies; governance simulations; ethnography; dependency analysis; conflict games; longitudinal ecosystem observation; literature and policy review; expert and affected-user interviews; reproducibility testing; methods adapted specifically to Long-Term Coevolution

Stakeholders and beneficiaries

governments; communities; employers; workers; unions; educators; infrastructure operators; emergency services; civil society; researchers; investors; technology providers