Tech4Humanity AtlasGround ZeroCurrent ThemesFuture ResearchGalleryLive Q&ASearch
THE-01 · TOP-002

AI Assistance Calibration

Optimal AI Assistance Thresholds 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.

8 canonical Subtopics in this Topic.

Optimal AI Assistance Thresholds

Optimal AI Assistance Thresholds examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performan

Under-Assistance and Unmet Need

Under-Assistance and Unmet Need examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performanc

Over-Assistance and Skill Atrophy

Over-Assistance and Skill Atrophy examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performa

Dynamic Assistance Adjustment

Dynamic Assistance Adjustment examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance

Context-Sensitive Support Levels

Context-Sensitive Support Levels examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performan

User-Controlled Assistance

User-Controlled Assistance examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in

Confidence-Aware Assistance

Confidence-Aware Assistance examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in

Longitudinal Assistance Adaptation

Longitudinal Assistance Adaptation examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable perform

Stories from AI Assistance Calibration

Scenario narratives — not empirical findings.

Optimal AI Assistance Thresholds

The headline dated five years from now called the programme a turning point. The smaller correction beneath it explained why that claim was premature. Practice and emerging evidence suggest that optimal ai assistance thr

Read the full story →

Under-Assistance and Unmet Need

The project began properly only when the community asked who had defined the problem, who would hold the data and who could stop the work. Practice and emerging evidence suggest that under-assistance and unmet need is a

Read the full story →

Over-Assistance and Skill Atrophy

The exercise began with a simulated outage and became a test of whether people could still coordinate when the dashboards disappeared. Practice and emerging evidence suggest that over-assistance and skill atrophy is a di

Read the full story →

Dynamic Assistance Adjustment

The family called it “the second shift”: the hours spent reconciling what different services believed about the same person. Practice and emerging evidence suggest that dynamic assistance adjustment is a distinct determi

Read the full story →

Context-Sensitive Support Levels

The headline dated five years from now called the programme a turning point. The smaller correction beneath it explained why that claim was premature. Practice and emerging evidence suggest that context-sensitive support

Read the full story →

User-Controlled Assistance

Day 19, 16:40. Ravi wrote one sentence in the margin of the protocol: “The improvement may not belong to the intervention.” Practice and emerging evidence suggest that user-controlled assistance is a distinct determinant

Read the full story →

Confidence-Aware Assistance

Fatima had already told the story three times before the appointment began. Practice and emerging evidence suggest that confidence-aware assistance is a distinct determinant of outcomes within ai assistance calibration,

Read the full story →

Longitudinal Assistance Adaptation

The machine fault took eleven minutes to repair. Reconstructing why the system had recommended the wrong sequence took the rest of the shift. Practice and emerging evidence suggest that longitudinal assistance adaptation

Read the full story →