We didn’t just build biased AI—we built blind AI.
And now, we’re surprised by what it sees.
Despite the headlines, too many still believe that artificial intelligence is neutral. But AI isn’t objective. It reflects the data we feed it—and if that data is broken, the future it builds will be, too.
Let’s break this down:
Less than 20% of AI researchers are women. That means we’re designing the future with half the human experience left out.
If data is the new oil, then biased data is crude. It pollutes every algorithm it touches and clouds the systems we rely on to make decisions in health care, hiring, education, and beyond.
AI built without diversity doesn’t just reflect inequality—it scales it. It turns yesterday’s systemic failures into tomorrow’s automated norms.
In my latest article, I explore a critical truth: this isn’t just about bias—it’s about blindness. It’s about what we’re not seeing, whose voices we’re not hearing, and what we risk when we leave inclusivity out of innovation.
Now is the time to rethink how we build. We must demand ethics, transparency, and accountability. We must ensure that AI becomes a force for equity, not exclusion.