Why Women’s AI Summit?
AI is becoming the everyday infrastructure of modern life and it is moving fast. The people most affected by that shift are still among the least represented in directing it.
When women live with the consequences of the technology that they are not involved in the development of, the gap becomes apparent in the systems themselves.
The concern women bring to innovation brings clarity and makes systems more honest, more accountable, and more fit for the complexity of real human life.
A future where AI works for everyone requires everyone at the table where AI is made.
Our Focus
We focus on the issues and opportunities women face today, in work and life at the intersection of AI:
AI Safety & Online Harm
Protecting women from misuse of AI, including deepfakes and online abuse, and exploring ethical use and accountability.
Bias & Inclusive Systems
Understanding and mitigating gender bias in AI, with strategies for fairer, more inclusive technology and workplaces.
Representation & Leadership
Highlighting the gaps in leadership and research, and elevating women shaping AI policy and governance.
Workforce & Skills Development
Navigating AI-driven changes in careers, reskilling, mentorship, and pathways into leadership roles.
Accessibility
Removing barriers to AI participation for women in under-represented regions and industries.
Ethics, Trust & Human-Centered AI
Exploring responsible AI practices, privacy, and design that centers people and communities.
Identity & Community
Supporting mental wellbeing, belonging, and human-centered experiences in intelligent spaces.
Entrepreneurship & Funding
Practical guidance for women starting companies, accessing capital, and scaling innovations.
Work-Life Balance & Wellbeing
Strategies to manage stress, prevent burnout, and maintain wellbeing in demanding careers.
Cultural Intelligence & Decision-Making
How identity, perspective, and lived experience shape technology, business, and leadership outcomes.
AI and Women’s health
Examining how AI is trained on and applied to women’s health data, reproductive technology, diagnostics, and the risks of building systems that do not reflect the full diversity of women’s bodies and experiences.
Media, Narrative and Representation
Exploring how AI is telling the stories told about women; through generated content, algorithmic amplification, and media platforms; and who holds the power to influence those narratives at scale.
