Artificial intelligence is already reshaping how work is organised, managed, and experienced. From recruitment and performance evaluation to scheduling, customer service, and platform work, AI systems are increasingly embedded in everyday workplace decisions. The future of work is unfolding now-often faster than institutions, policies, and skills systems can adapt. While AI can improve productivity, job quality, and access to opportunities, it also carries significant risks. Algorithms are not neutral: without safeguards, they can reflect existing power structures and reinforce gender inequalities. This three-day knowledge-sharing forum examines AI as both an opportunity and a risk for gender equality in the world of work, bringing research, lived experience, and policy debates together to ask a critical question: what can AI deliver, for whom, and under what conditions?
This forum is designed for professionals engaged in shaping, governing, researching, or applying AI and digital technologies, including: - Gender equality, DEI, and human rights professionals - Policymakers and regulators working on labour, digitalisation, and equality - AI, data, and digital transformation practitioners - HR, learning & development, and people-management professionals - Researchers and academics working on gender, technology, and work - Representatives of workers' and employers' organizations - Public sector professionals, UN organizations, NGOs, and civil society - Entrepreneurs and ecosystem actors engaged in AI-enabled innovation
Participants will explore how AI is reshaping work, power, and opportunity through a gender lens, and identify pathways toward more inclusive and equitable AI-driven futures.
Topic 1: Impacts of AI on Women’s Employment
Explore how AI-driven automation and task transformation affect women unevenly, particularly in clerical, administrative, service, and platform-based roles, and when AI can improve job quality rather than deepen insecurity.
Topic 2: Algorithmic Management, Bias, and Digital Gender-Based Violence
Examine how algorithmic decision-making in hiring, evaluation, scheduling, and platform work can reproduce discrimination and enable digital gender-based violence, highlighting the need for transparency, accountability, and human oversight.
Topic 3: Women, STEM, and the AI Talent Pipeline
Analyse persistent gender gaps in STEM education, AI-related jobs, and leadership, and how institutional cultures and power dynamics shape who builds and benefits from AI.
Topic 4: Skills for an AI-Driven World of Work
Discuss how AI is reshaping skill demand across sectors, and the role of education, training, and lifelong learning in supporting inclusive transitions for women.
Topic 5: Women’s Entrepreneurship and AI-Enabled Opportunities
Explore how AI can lower barriers to entrepreneurship while examining the structural, financial, and socio-cultural obstacles women entrepreneurs continue to face.
Topic 6: Decolonising Data and Governing AI for Gender Equality
Examine AI governance through a gender-responsive and decolonial lens, addressing how data and innovation ecosystems can reproduce inequality—and how they can be redesigned to support equity, dignity, and decent work.
A limited number of partial fellowships are available for worthy candidates from countries ODA receiving countries (Official Development Assistance). Consult the updated recipients’ list here.
If you are applying for funding, please specify so in your application form.