EcosystemSUMMIT & RESEARCH
Evidence library / The Reality of AI: Adoption, Capacity, and Change Management
AI for development · SELECTED MOMENT · 0:41

CARE returns interpretations to participants for challenge and action; AI may shorten the feedback loop.

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Emily JanochAssociate Vice President for Evidence and Learning · CARELinkedIn ↗

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Emily JanochAssociate Vice President for Evidence and Learning · CARELinkedIn ↗

CARE returns interpretations to participants for challenge and action; AI may shorten the feedback loop.

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Attributed contributors: Emily Janoch. “CARE returns interpretations to participants for challenge and action; AI may shorten the feedback loop..” The Reality of AI: Adoption, Capacity, and Change Management. ECOSYSTEM Summit, Barcelona, 16 September 2026. Session time 11:08–11:49. https://cs-ecosystem.commonshare.workers.dev/evidence/E-a46dc89dfadf

Interpretation and context.

Analyst synthesis. The recording establishes that a claim was made. It does not independently establish the claimed effect.

reported practice

CARE returns interpretations to participants for challenge and action; AI may shorten the feedback loop.

Contributors
Emily JanochAssociate Vice President for Evidence and Learning · CARELinkedIn ↗

Proposed mechanism: Check that participants understand and agree with analytic conclusions.

Limit: Faster feedback is a proposed benefit, not quantified here.

contestabilityrepresentationassurance learning

Where it connects.

Representation becomes power only when it affects decisions or creates a credible route to challenge them.

A seat, a consultation or technical expertise may coexist with exclusion from binding decisions. Analyse authority and the costs of participation.

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