EcosystemSUMMIT & RESEARCH
Evidence library / Connected ≠ Ready: Getting to a Ground-Level View of AI Readiness for Women and Vulnerable Populations
AI for development · SELECTED MOMENT · 0:43

Ground-level data is proposed to reveal exclusion before technological acceleration widens gaps.

Speaker
Caryl FeldackerSenior Program Officer, Data and Technology Adoption, Gender Equality Division · Gates FoundationSpeaking in a personal capacityLinkedIn ↗
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Caryl FeldackerSenior Program Officer, Data and Technology Adoption, Gender Equality Division · Gates FoundationSpeaking in a personal capacityLinkedIn ↗

Ground-level data is proposed to reveal exclusion before technological acceleration widens gaps.

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Attributed contributors: Caryl Feldacker. “Ground-level data is proposed to reveal exclusion before technological acceleration widens gaps..” Connected ≠ Ready: Getting to a Ground-Level View of AI Readiness for Women and Vulnerable Populations. ECOSYSTEM Summit, Barcelona, 16 September 2026. Session time 6:10–6:54. https://cs-ecosystem.commonshare.workers.dev/evidence/E-5041702b0ef2

Interpretation and context.

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

normative argument

Ground-level data is proposed to reveal exclusion before technological acceleration widens gaps.

Contributors
Caryl FeldackerSenior Program Officer, Data and Technology Adoption, Gender Equality Division · Gates FoundationSpeaking in a personal capacityLinkedIn ↗

Proposed mechanism: Investigate actual constraints instead of assuming readiness.

Limit: Potential exclusion effects, not a measured AI-impact result.

evaluationlocal knowledgeunequal harms

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