EcosystemSUMMIT & RESEARCH
Evidence library / Responsible AI: Ethics, Governance and Practice
AI for development · SELECTED MOMENT · 1:23

AI can amplify exclusion, surveillance and discrimination while even nominally useful systems may fail under demand.

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

Free short preview · Research has to happen during deployment

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

AI can amplify exclusion, surveillance and discrimination while even nominally useful systems may fail under demand.

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Attributed contributors: Becky Faith. “AI can amplify exclusion, surveillance and discrimination while even nominally useful systems may fail under demand..” Responsible AI: Ethics, Governance and Practice. ECOSYSTEM Summit, Barcelona, 16 September 2026. Session time 8:37–10:01. https://cs-ecosystem.commonshare.workers.dev/evidence/E-652b17a55524

Interpretation and context.

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

practitioner interpretation

AI can amplify exclusion, surveillance and discrimination while even nominally useful systems may fail under demand.

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

Proposed mechanism: Biased or unreliable deployment exposes users to harm.

Limit: Examples are reported and not evaluated in detail.

unequal harmsreliabilityagency

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