International AI Literacy Survey Plan

Vestin Hategekimana

What?

  • Create an international bi-annual semi-longitudinal survey on AI literacy

  • Create an international dataset on AI literacy and opinion

Why? Too many blindspots

  • Limited definition of AI literacy: more than just using ChatGPT

  • Limited population studied: Northern countries, student/white collar

  • Narrow/localized scope: No international comparison

  • Limited in usage/knowledge: What about beliefs/feelings?

Risk: groups left behind and biased representation

How?

  • International collaboration between hubs over the world

  • Collaboration with researchers on AI literacy

  • Funding opportunities

Phases

Phase 1: Preparation and Planning

  • Hub Coordination and Data Collection Setup

Phase 2: Questionnaire Development and Validation

  • Create a multilingual, inclusive, and validated questionnaire

Phase 3: Hub Coordination and Data Collection Setup

  • Mobilize hubs, secure data hosting, and finalize logistics

Phase 4: Data Collection

Timeline

Key Deliverables by Date

  • 2025–12–31: Finalize funding strategy, report framework, and hub coordination
  • 2026–04–30: Finalized and validated questionnaire
  • 2026–04–15: Data hosting, ethics compliance, and promotion campaign
  • 2026–06–01: Data collection launch

Hierarchy and Meeting Organization

Phase 1

What could you gain from this project?

  • Recognition: Name cited and contribution highlighted

  • Experience: International collaboration

  • Contact: Academics in the field of AI Literacy other hub members

Thank you for your attention !

More details in the following slides

Phase 1: Preparation and Planning (2025–06–03 to 2025–12–31)

  • Goal: Finalize project structure, secure resources, and build foundational elements
  • Internal with Geneva Hub members

Phase 1: Preparation and Planning

1. Literature Review & Gap Analysis

  • Review AI literacy research focusing on non-traditional demographics and broader AI knowledge (history, culture, ethics)
  • Identify gaps in current research
  • Deliverable: Report on gaps and recommendations

Phase 1: Preparation and Planning

2. Expert Engagement (2025–07–01 to 2025–10–31)

  • Recruit experts (technical, ethical, educational) via ITU, AI for Good hubs, and academic institutions
  • Finalize roles (e.g., questionnaire co-authors, validators)
  • Deliverable: List of experts and roles

Phase 1: Preparation and Planning

3. Funding & Recognition (2025–08–01 to 2025–12–31)

  • Explore funding options (ITU, UN agencies, NGOs, private sector)
  • Draft budget and contributor recognition framework
  • Deliverable: Funding proposal and contributor recognition framework

Phase 1: Preparation and Planning

4. Promotion Strategy (2025–09–01 to 2025–12–31)

  • Mobilize AI for Good hubs for outreach (social media, academic networks)
  • Develop promotional materials (press releases, infographics)
  • Deliverable: Promotion plan and outreach materials

Phase 2: Questionnaire Development and Validation

Goal: Create a multilingual, inclusive, and validated questionnaire

Phase 2: Questionnaire Development and Validation

1. Questionnaire Design (2026–01–01 to 2026–02–28)

  • Collaborate with hubs and experts to draft questionnaire covering:
    • Technical skills, ethics, history, culture, economy, and politics of AI
    • Inclusivity for non-traditional demographics (e.g., non-tech workers)
  • Ensure cultural relevance via input from hubs and NGOs
  • Deliverable: Draft questionnaire

Phase 2: Questionnaire Development and Validation

2. Translation & Validation (2026–03–01 to 2026–04–15)

  • Translate questionnaire into multiple languages (using tools + hub validation)
  • Conduct pilot testing with hubs to refine questions
  • Deliverable: Finalized, validated, and translated questionnaire

Phase 3: Hub Coordination and Data Collection Setup

Goal: Mobilize hubs, secure data hosting, and finalize logistics

Phase 3: Hub Coordination and Data Collection Setup

1. Hub Coordination (2026–01–01 to 2026–02–28)

  • Send formal invitations to hubs with roles (e.g., data collection, translation)
  • Establish communication channels (Slack, Zoom, shared documents)
  • Deliverable: Hub participation agreement and roles

Phase 3: Hub Coordination and Data Collection Setup

2. Data Hosting & Ethics (2026–03–01 to 2026–04–15)

  • Secure data hosting (ITU servers, Zenodo, Figshare)
  • Plan for anonymization and open-access sharing (Creative Commons licensing)
  • Finalize ethical review (informed consent, data privacy)
  • Deliverable: Data hosting agreement and ethical compliance plan

Phase 3: Hub Coordination and Data Collection Setup

3. Finalize Promotion and Outreach (2026–04–15 to 2026–05–31)

  • Launch global promotion campaign (hubs, social media, NGOs)
  • Finalize partnerships with educational institutions and NGOs
  • Deliverable: Promotion campaign materials and stakeholder onboarding

Phase 4: Data Collection

Goal: Execute data collection across hubs and regions

Phase 4: Data Collection

1. Launch Data Collection (2026–06–01)

  • Distribute questionnaire via online surveys and flexible methods for non-digital populations
  • Monitor progress and provide support to hubs

Phase 4: Data Collection

2. Ongoing Data Management

  • Host data securely and ensure open-access sharing
  • Begin preliminary analysis for the first report

Thank you for your attention!