Featured In Royaltee Magazine: "Understanding the Risks of AI Biases: Who Gets Left Behind in an Automated World?"
RM
AI is reshaping industries—but is it redefining beauty in ways that leave too many of us out? Including people who look like me?
A recent Washington Post experiment asked AI to generate images of a “beautiful woman.” The results? A narrow, homogenous standard: overwhelmingly young, slender, and light-skinned. Just 2% of images showed visible signs of aging. Only 9% featured dark skin tones.
This isn’t just about beauty. It’s about bias—hidden in the algorithms shaping everything from hiring decisions to healthcare diagnostics. When AI learns from data that reflects historical inequities, it automates exclusion. And let’s be clear: AI doesn’t question itself. We must be its counterbalance.
💡 What do we do?
- Challenge AI’s assumptions.
- Demand ethical development.
- Refuse to let algorithms dictate whose voices—and faces—matter.
I dive into this in my latest feature—exploring AI’s ethical dilemma, the risks businesses can’t afford to ignore, and what it means for ALL of us.
🔗 Read the full article here.
Let’s make questioning AI second nature.
Because if we don’t shape AI’s future, it will shape ours.