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Good practice Imported

IA-ccès pour Toutes et Tous — Interface3 Namur's AI On-Ramp for Women Facing Digital Exclusion

Belgium · Namur · See the Belgium profile

Evidence: Descriptive / self-reported Top 28% 60/100 · Ask Evidence Copilot about this practice

Since 1988, Namur's Interface3 has trained around 400 disadvantaged women a year for IT careers with roughly 70% finding jobs; its 'IA-ccès pour toutes et tous' project extends that model to critical, responsible AI literacy via trained digital mediators.

70%
Employment rate within 6 months of IT training (organisation-wide)
~400 women/year
Women completing IT training per year
62%
Employment rate — low education level
75%
Employment rate — secondary education or higher
150+
Partner enterprises for internship placements
IA-ccès pour Toutes et Tous — Interface3 Namur's AI On-Ramp for Women Facing Digital Exclusion

Details

Maturity
Pilot
Promoter
Interface3 Namur asbl
Period
1988–present (AI programme launched 2023)
Region (NUTS)
BE35
Keywords
nonprofit, women's digital inclusion, IT training, employment, AI literacy

Context

Interface3 Namur is a Belgian nonprofit active since 1988 that trains women — particularly those with low formal education or facing other social disadvantage — for careers in information technology and related technical fields. The organisation is recognised as a good practice in the European Institute for Gender Equality's (EIGE) gender-mainstreaming database.

Objectives

Building on its IT-training base, Interface3 Namur launched 'IA-ccès pour toutes et tous' ('AI-ccess for all'), explicitly framing artificial intelligence education as a lever for digital equality, aiming to build critical and responsible AI use among people at risk of being left behind by the AI transition.

Activities

Each year roughly 400 women complete an orientation, initiation or qualifying IT training course, out of more than 600 who come to Interface3 for guidance, supported by internship placements in more than 150 partner enterprises. The AI project works with 'digital mediators' — frontline facilitators who support disadvantaged publics in digital-inclusion settings such as public libraries and community centres — to produce practical, accessible AI-literacy resources.

Conclusions

Published sources describe the AI project's approach and its integration into Interface3's broader women's-employment training, but do not report separate participant counts or outcome metrics for the AI strand specifically. The organisation's decades of employment-outcome data (about 70% of trainees finding employment within six months, 62% among those with low education levels and 75% among those with secondary education or higher) cover its IT training as a whole, not the newer AI content in isolation.

Implementation
Indicative cost
Low (< €50k) — Builds on Interface3's existing training infrastructure and partner network rather than new dedicated funding; the digital-mediator model keeps delivery cost low.
Time to results
Short (< 1 year) — AI programme launched in 2023, a relatively fast build on top of the organisation's 35+-year existing training base.
Staffing & skills
trained digital mediators — frontline facilitators supporting disadvantaged publics in digital-inclusion settings (libraries, community centres), Interface3 Namur's existing women's IT-training staff

Conditions for success

  • build on an existing 35+-year women's IT-training institution and its network (150+ partner enterprises)
  • train intermediary 'digital mediators' rather than only training end-users directly
  • frame AI literacy explicitly as a digital-equality lever for the same disadvantaged-women population already served

Common failure modes

  • no separate participant counts or outcome metrics published for the AI-ccès strand specifically — only parent-organisation IT-training figures exist

Where it fits

Governance type
nonprofit (asbl), EIGE-recognised good practice
Scale
local — Namur, ~400 trainees/year org-wide
Income level
high-income (Belgium)

Commonly funded by

CERV — Citizens, Equality, Rights and Values Digital Europe Programme Erasmus+

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

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