Slave masters used to own people. Now algorithms do.
HI, I'M YVETTE SCHMITTER
I prevent AI systems from accidentally becoming digital dictators. When I asked AI to create my action figure as a "Cloud Jedi," it gave me Jensen Huang's face instead of my own. If AI can't even see me as the CEO of my own company, imagine what it's doing to job applications, loan approvals, and medical diagnoses. I'm the girl who built computers from scraps while being told "technology isn't for people like you." Today, I ensure AI doesn't make those same exclusionary judgments about millions of others. Over 500 organizations trust me to audit their AI systems for bias. I've protected 2 million people from algorithmic discrimination and saved clients $50+ million in compliance costs. Because every person deserves to be seen for their potential, not reduced to a data point.
AI was supposed to remove human bias from decision-making. Instead, it automated it.
Right now, algorithms are systematically screening out the very diversity that drives innovation. >> Hiring AI rejects brilliance based on names. >> Loan systems redline entire communities. >> Medical algorithms miss heart attacks in women and minorities. This isn't diversity, this is digital segregation at computational speed. I've audited over 100 AI systems and the pattern is clear: Companies using biased algorithms lose an average of $2.3 million annually in missed opportunities and compliance violations. Meanwhile, organizations implementing my ETHICALENS framework see ~40% better performance and ~85% reduction in algorithmic bias related incidents. When a "therapeutic chatbot" recommendations excludes non-Westernized social structures because it's training data was crowdsourced by all male and white therapists, my audit didn't just sound the alarms to fix the bias, it prevented catastrophic outcomes before it launched. Saving lives, reputation and trust. Because when AI sees everyone's potential, everyone wins. When it doesn't, everyone loses, including your bottom line. Your competitors are either fixing their algorithmic bias or becoming victims of it. Which will you choose?
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