EcosystemSUMMIT & RESEARCH
Evidence library / Responsible AI: Ethics, Governance and Practice
AI for development · SELECTED MOMENT · 1:24

Greater uncertainty and smaller budgets strengthen the case for evidence rather than abandoning research in a race to deploy.

Speaker
Becky FaithSenior Research Fellow; Development Lecturer · FCDO; Institute of Development StudiesSpeaking in a personal capacityLinkedIn ↗
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Becky FaithSenior Research Fellow; Development Lecturer · FCDO; Institute of Development StudiesSpeaking in a personal capacityLinkedIn ↗

Greater uncertainty and smaller budgets strengthen the case for evidence rather than abandoning research in a race to deploy.

View citation

Attributed contributors: Becky Faith. “Greater uncertainty and smaller budgets strengthen the case for evidence rather than abandoning research in a race to deploy..” Responsible AI: Ethics, Governance and Practice. ECOSYSTEM Summit, Barcelona, 16 September 2026. Session time 5:49–7:13. https://cs-ecosystem.commonshare.workers.dev/evidence/E-baaf9f150ecd

Interpretation and context.

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

normative argument

Greater uncertainty and smaller budgets strengthen the case for evidence rather than abandoning research in a race to deploy.

Contributors
Becky FaithSenior Research Fellow; Development Lecturer · FCDO; Institute of Development StudiesSpeaking in a personal capacityLinkedIn ↗

Proposed mechanism: Research reduces costly investment in ineffective systems.

Limit: No cost-benefit estimates supplied.

evaluationfunding horizonrisk tradeoff

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