Participation and Leadership
Strengthening women's role in AI research, development, governance and institutional decision-making.
International expertise. National action. Responsible AI shaped with women.
The Working Group connects women and committed allies from research, education, public institutions, civil society and professional practice.
Artificial intelligence increasingly influences education, employment, research, public services and social participation. Women must be represented not only as users, but also as researchers, educators, developers, decision-makers and leaders.
The Working Group connects international expertise and turns professional exchange into practical activities, research collaboration and concise public outputs. Its work is grounded in fairness, transparency, critical AI literacy and human responsibility.
Strengthening women's role in AI research, development, governance and institutional decision-making.
Addressing gender-related bias and promoting fair, transparent and accountable AI systems.
Supporting women in understanding, assessing and using artificial intelligence critically and confidently.
Connecting experts, sharing research and making women's expertise and professional pathways more visible.
The international Working Group provides the shared professional framework. It connects experts and organisations across countries while allowing national priorities to be addressed through dedicated sections.
Building the knowledge and critical capabilities needed to understand and shape AI.
Identifying bias and structural inequalities in systems, organisations and professional pathways.
Presenting women as experts, researchers, educators, decision-makers and role models.
Connecting international expertise with concrete national activities and cooperation.
Regular online meetings, expert discussions and focused roundtables.
Task-based teams working on events, publications, resources and project ideas.
Selected findings and outputs are shared publicly for education, research and practice.
At its first session, the Working Group identified four priorities for its 2026–2027 programme: responsible AI literacy, gender bias and structural barriers, visibility and leadership, and the connection between international expertise and national action.
Participation is open to experts, researchers, educators, practitioners and institutional representatives. ETCOP membership is not required.
Participants are expected to contribute actively and support the objectives of the Working Group. Individuals of all genders are welcome.
National sections translate the shared priorities of the international Working Group into activities relevant to their respective countries.