Shared Decision Making

Definition

Shared Decision Making examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

Shared Decision Making may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

How should people and AI combine evidence, values and uncertainty in consequential choices?

Hypotheses

Structured disagreement and value elicitation will improve decisions more than consensus-seeking interfaces.

Proposed methods

workflow experiments; task-allocation trials; simulation; incident analysis; ethnography; decision audits; controlled handover tests; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

workers; team leaders; boards; risk officers; AI vendors; unions; customers; regulators; auditors; decision scientists; accountable executives