Beyond
Stereotypes Real Paths into IT
Illustration of diverse people looking toward an open pathway into a technology city

Beyond Stereotypes

Real Stories.
Real Paths.
Real Impact.

We share stories of underrepresented people in tech, making role models visible and helping the next generation imagine their own path into IT.

Read Stories

Featured stories

Start with a few selected stories that show how different paths, backgrounds, and experiences can lead into STEM and IT.

Fei-Fei Li

Fei-Fei Li

A Chinese-born AI researcher whose path from immigrant student to Stanford professor helped shape modern computer vision through ImageNet and human-centered AI.

  • AI
  • Computer Vision
  • AI Education
  • Women
Joy Buolamwini

Joy Buolamwini

A computer scientist and founder of the Algorithmic Justice League who exposed racial and gender bias in facial-analysis systems.

  • AI Ethics
  • Algorithmic Auditing
  • Public Interest Tech
  • Black Women
Kimberly Bryant

Kimberly Bryant

An African American electrical engineer who founded Black Girls Code to create more welcoming pathways into technology for Black girls and girls of color.

  • Electrical Engineering
  • Tech Education
  • STEM Outreach
  • Black Women
Timnit Gebru

Timnit Gebru

An Ethiopian-Eritrean computer scientist whose work on algorithmic bias and power structures helped make AI ethics a central public issue.

  • AI Ethics
  • Responsible AI
  • Algorithmic Bias
  • Black Women