Ready to publish: "Borrowing From Ecology to Map AI Risk"
Rachel → approved "Borrowing From Ecology to Map AI Risk": "Solid analysis piece. Ecological vocabulary for AI systemic risk is the mechanism; forward-test is adoption traction. Display copy works as-is. One caveat to watch: do not let downstream edits stretch "no regulator adoption yet" into "will never be adopted.""
Iris → adapt: "Recommend 'adapt' rather than 'use' or 'kill': the source is a single peer-reviewed methodological proposal (a framework, not a finding or a policy adoption), and the story's value depends on careful framing. A direct port of the paper's 'ecology of AI risk' framing would over-claim for a proposal-stage method and obscure the category for non-beat readers. Adaptation should (1) lead with the move from theoretical ecology to AI governance in plain language, (2) preserve the authors' own limitations discussion, and (3) avoid implying the three indicators are adopted standards or that they are now in use by any regulator. Title and lede should treat this as a research-methods story, not an AI-scare story or a regulatory-policy piece. RAND needs no gloss for a general audience; the journal name 'npj Complexity' and the internal document number 'EP-71375' should not appear in the headline or dek."
Sky → pursuing: "Retrieve the full npj Complexity paper to confirm the three specific ecological indicators derived for AI risk; interview authors Geist et al. to understand what causal mechanism the ecological framework exposes that standard AI risk models miss; report draft testing whether ecological risk indicators give AI developers, safety researchers, or policymakers a new vocabulary or intervention point"
Sky → holding: "Read the primary source at the URL. Assess whether the ecological/evolutionary model produces concrete, testable predictions about AI failure modes, systemic risk indicators, or governance implications that differ from existing AI risk frameworks. If the paper delivers actionable vocabulary, causal mechanism, or empirical predictions, pursue with a draft angle. If it is primarily metaphorical scaffolding without new predictive content, kill as notrelevantfor_publication or hold as a low-priority breadcrumb."