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Hearing The Silenced Voices: AI-supported interviewer training for AI Ethics research with marginalised communities

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Hearing The Silenced Voices: AI-supported interviewer training for AI Ethics research with marginalised communities

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VanCardui Oct. 27, 2025
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Challenge: Safety and ethics

Industries

InclusionLearning and educationSafety and ethics

Technologies

Data science & analyticsLLMs & NLP

Tags

AIGovernance & tooling

Description

This RFP idea is about AI-supported tooling to help train new interviewers, from diverse communities, to conduct interviews on AI ethics and safety within their communities, as part of BGI Nexus’s ongoing research project.

Approaches could include adaptive training simulations for interviewers; using contextualised AI to build targeted, self-paced accreditation for a specific community; etc

The aim is to increase the inclusivity of the research, and ensure that “unheard” voices are captured.

 

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

In any research, it’s vital to hear marginalised voices.

We (the AI Ethics Workgroup in sNET’s Ambassador Program) have been interviewers for BGI Nexus for over a year. We’ve learnt that the most effective way to hear “unheard” voices is to train interviewers from that community. When interviewer and interviewee are from the same background, trust is easier to establish, and answers are rich and detailed. 

So how do we do this beyond our own workgroup’s demographic?

 

Proposed Solutions

To reach diverse communities, we must train and support diverse interviewers; and training should help them ask about key AI issues for their communities.

AI tooling, contextualised with human input, could ensure interviewer training is not generic, and that interviewers feel able to address ethical issues around geography, language, disability, income, knowledge, and more. 

We see many possible approaches - an RFP would ensure solutions as diverse as the interviewers we want to train.

 

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