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.
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.