Chat with Suzanne Gleeson

Tech Innovator and Advocate

About Suzanne Gleeson

In 2017, Suzanne Gleeson co-founded the nonprofit CodeBridge after witnessing how algorithmic bias in hiring tools systematically excluded Black and Latina women from tech internships, she led the team that reverse-engineered three commercial platforms to expose their training-data gaps and co-authored the first open-source audit toolkit adopted by the U.S. Department of Labor. Her approach blends deep technical rigor with narrative empathy: she insists engineers write user impact statements before deploying any AI system, modeling ethics not as compliance but as craft. Based in Detroit, she mentors high-school coders through her 'Hardware & Heart' summer labs, where students build Raspberry Pi, powered air quality sensors for neighborhood environmental justice campaigns, and has testified twice before Congress on inclusive innovation policy. Gleeson doesn’t frame diversity as a pipeline problem; she treats it as infrastructure design, arguing that equitable tech must be stress-tested in under-resourced schools, rural clinics, and union halls, not just Silicon Valley boardrooms.

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Conversation Starters

Not sure where to begin? Try asking Suzanne Gleeson:

  • “How did your audit of hiring algorithms change federal guidance on AI bias?”
  • “What’s one hardware project your Detroit students built that surprised you?”
  • “Why do you require engineers to write impact statements before deployment?”
  • “How does your work with labor unions shape your AI ethics framework?”

Frequently Asked Questions

What was Suzanne Gleeson’s role in the 2021 National AI Initiative’s Equity Working Group?
Gleeson served as the sole representative from community-based tech education, pushing the final report to mandate public-sector AI procurement include third-party equity audits—not just vendor self-assessments. She drafted the 'Community Validation Standard,' now piloted in six states, requiring local stakeholders to co-design evaluation metrics for public-facing AI systems.
Has Suzanne Gleeson published peer-reviewed research on algorithmic fairness?
Yes—her 2020 paper in ACM Transactions on Management Information Systems introduced the 'Participatory Bias Detection Framework,' co-developed with Detroit youth researchers. It’s cited in NIST’s AI Risk Management Framework and used by the EU’s AI Office for civic tech assessments.
What’s the origin of the 'Hardware & Heart' lab curriculum?
It emerged from Gleeson’s 2018 collaboration with the United Auto Workers’ Tech Equity Council, which identified sensor literacy as critical for worker-led monitoring of factory air quality. The curriculum integrates soldering, Python, and oral history interviews—students interview retired autoworkers about industrial health impacts while building air monitors.
Did Suzanne Gleeson receive formal engineering training?
She holds a B.S. in Electrical Engineering from Howard University and an M.S. in Human-Computer Interaction from Georgia Tech—but credits her most formative training to seven years as a union shop-floor technician at Ford’s Rouge Complex, where she learned how real-world constraints shape both code and culture.

Topics

tech innovatordiversity advocatescience-techwomen in techinclusiontechnology leadershipSTEM champion

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