All data tells a story, and like all stories, its power depends on who is in it and who is left out. When women and marginalised communities are missing from the data, the AI built on it inherits the gap, in health, in safety, in whose needs ever get designed for. Our research documents that gap and makes the case for a new social contract for data.
WSIS and Gender: The Closing Window in Geneva
The roadmap governing how the world measures digital progress is being written now—with zero gender indicators. The window to change it.
Gender Indicators for the WSIS+20 Review
WSIS measures who connects, not who leads or shapes AI. A transformative gender indicator set for the WSIS+20 roadmaps, ready before CSTD 2027.
Who Collects the Data: Building AI's Missing Record on Women
A funded architecture for collecting consented, provenanced data on women—with women’s rights organizations as the certified, paid field force.
Apertus: The AI Model That Can Prove Its Bias
Switzerland’s open model is the only frontier AI whose training data can be audited for the gender gap that makes AI misdiagnose women.
Invisible by Design: Women’s Health as the Blind Spot in AI
A landmark collaboration between Women at the Table and FemTechnology, our latest paper isn’t just a report; it’s a call for a new “Social Contract for Data.”
AI Cannot Outperform the Evidence It Was Built On
In 2019, we warned that automated systems trained on biased data would not correct inequality — they would cement it. We called it We Shape Our Tools, Thereafter Our Tools Shape Us, and we called for Affirmative Action for Algorithms.
The Gender Data Health Gap
Harnessing AI’s Transformative Power to Bridge the Gender Health Data Divide.
The gender data gap is turbocharged by AI. In the context of continuing and widespread AI adoption in healthcare, we run the serious risk of structurally embedding biases and gaps. Without being aware. Again.
The Deadly Data Gap
All data tells a story.
And like all stories, its power and purpose depend on the protagonist and their point of view.
BSI Standard
Enabling the development of inclusive standards – Understanding the role of data and data analysis.